Skip to yearly menu bar Skip to main content


(1770 events)   Timezone:  
Toggle Poster Visibility
Affinity Workshop
Mon Dec 09 08:00 AM -- 05:30 PM (PST) @ East Meeting Level 1, 1 + 2 + 3
Black in AI (BAI) Affinity Workshop
Affinity Workshop
Mon Dec 09 08:25 AM -- 04:45 PM (PST) @ East Exhibition Hall C
Women in Machine Learning (WiML) Affinity Workshop
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Imitation Learning and its Application to Natural Language Generation
Kyunghyun Cho · Hal Daumé III
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Exhibition Hall A
Deep Learning with Bayesian Principles
Mohammad Emtiyaz Khan
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Ballroom A + B
Human Behavior Modeling with Machine Learning: Opportunities and Challenges
Nuria M Oliver · Albert Ali Salah
Affinity Workshop
Mon Dec 09 08:45 AM -- 05:30 PM (PST) @ East Ballroom A
LatinX in AI (LAI) Affinity Workshop
Workshop
Mon Dec 09 09:00 AM -- 04:45 PM (PST) @ East Meeting Rooms 11 + 12
New In Machine Learning
Break
Mon Dec 09 10:30 AM -- 11:15 AM (PST)
Coffee Break
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Exhibition Hall C + B3
Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures
Vivienne Sze
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Ballroom A + B
Machine Learning for Computational Biology and Health
Anna Goldenberg · Barbara Engelhardt
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Exhibition Hall A
Interpretable Comparison of Distributions and Models
Wittawat Jitkrittum · Danica J. Sutherland · Arthur Gretton
Affinity Poster Session
Mon Dec 09 01:15 PM -- 02:45 PM (PST) @ East Exhibition Hall B
WiML + Black in AI Joint Poster Session
Break
Mon Dec 09 01:15 PM -- 02:45 PM (PST)
Lunch Break on Your Own
Affinity Workshop
Mon Dec 09 02:00 PM -- 05:00 PM (PST) @ East Meeting Level 1, 8 + 15
Queer in AI (QAI) Affinity Workshop
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Reinforcement Learning: Past, Present, and Future Perspectives
Katja Hofmann
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Ballroom A + B
Synthetic Control
Alberto Abadie · Vishal Misra · Devavrat Shah
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Representation Learning and Fairness
Moustapha Cisse · Sanmi Koyejo
Break
Mon Dec 09 04:45 PM -- 05:00 PM (PST)
Break
Break
Mon Dec 09 05:00 PM -- 05:45 PM (PST) @ West Exhibition Hall C + B3
Opening Remarks
Invited Talk
Mon Dec 09 05:45 PM -- 06:35 PM (PST) @ West Exhibition Hall C + B3
How to Know
Celeste Kidd
[ PDF] 
Affinity Poster Session
Mon Dec 09 06:30 PM -- 08:00 PM (PST) @ East Exhibition Hall B
Joint Affinity Group Poster Session
Break
Mon Dec 09 06:35 PM -- 08:30 PM (PST) @ East Exhibition A, Ballrooms B + C
Opening Reception
Invited Talk (Breiman Lecture)
Tue Dec 10 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Veridical Data Science
Bin Yu
Break
Tue Dec 10 09:20 AM -- 10:05 AM (PST) @ West and East
Coffee Break
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Logarithmic Regret for Online Control
In Track 2 Session 1
Naman Agarwal · Elad Hazan · Karan Singh
[ Paper]  [ Slides] 
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
In Track 4 Session 1
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Kernel Instrumental Variable Regression
In Track 3 Session 1
Rahul Singh · Maneesh Sahani · Arthur Gretton
[ Paper]  [ Slides] 
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Uniform convergence may be unable to explain generalization in deep learning
In Track 1 Session 1
Vaishnavh Nagarajan · J. Zico Kolter
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
List-decodable Linear Regression
In Track 2 Session 1
Sushrut Karmalkar · Adam Klivans · Pravesh Kothari
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
In Track 4 Session 1
Aaron Voelker · Ivana Kajić · Chris Eliasmith
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
In Track 3 Session 1
Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
On Exact Computation with an Infinitely Wide Neural Net
In Track 1 Session 1
Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
On the Hardness of Robust Classification
In Track 2 Session 1
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
Point-Voxel CNN for Efficient 3D Deep Learning
In Track 4 Session 1
Zhijian Liu · Haotian Tang · Yujun Lin · Song Han
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
Identification of Conditional Causal Effects under Markov Equivalence
In Track 3 Session 1
Amin Jaber · Jiji Zhang · Elias Bareinboim
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
In Track 1 Session 1
Yuan Cao · Quanquan Gu
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Adversarial Examples Are Not Bugs, They Are Features
In Track 2 Session 1
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Neural Networks with Cheap Differential Operators
In Track 4 Session 1
Tian Qi Chen · David Duvenaud
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
In Track 3 Session 1
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
In Track 1 Session 1
Mahyar Fazlyab · Alexander Robey · Hamed Hassani · Manfred Morari · George J. Pappas
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
In Track 2 Session 1
Saeed Mahloujifar · Xiao Zhang · Mohammad Mahmoody · David Evans
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Sequential Neural Processes
In Track 4 Session 1
Gautam Singh · Jaesik Yoon · Youngsung Son · Sungjin Ahn
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Perceiving the arrow of time in autoregressive motion
In Track 3 Session 1
Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
In Track 1 Session 1
Yuanzhi Li · Colin Wei · Tengyu Ma
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
In Track 2 Session 1
Yihe Dong · Samuel Hopkins · Jerry Li
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Deep Equilibrium Models
In Track 4 Session 1
Shaojie Bai · J. Zico Kolter · Vladlen Koltun
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
Conditional Independence Testing using Generative Adversarial Networks
In Track 3 Session 1
Alexis Bellot · Mihaela van der Schaar
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
In Track 1 Session 1
Colin Wei · Tengyu Ma
[ Paper]  [ Slides]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
A Game Theoretic Approach to Class-wise Selective Rationalization
In Algorithms -- Adversarial Learning
Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
A Little Is Enough: Circumventing Defenses For Distributed Learning
In Algorithms -- Adversarial Learning
Moran Baruch · Gilad Baruch · Yoav Goldberg
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
In Algorithms -- Adversarial Learning
Shengyuan Hu · Tao Yu · Chuan Guo · Wei-Lun Chao · Kilian Weinberger
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
In Algorithms -- Adversarial Learning
Guang-He Lee · Yang Yuan · Shiyu Chang · Tommi Jaakkola
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
Adversarial training for free!
In Algorithms -- Adversarial Learning
Ali Shafahi · Mahyar Najibi · Mohammad Amin Ghiasi · Zheng Xu · John Dickerson · Christoph Studer · Larry Davis · Gavin Taylor · Tom Goldstein
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
Certifiable Robustness to Graph Perturbations
In Algorithms -- Adversarial Learning
Aleksandar Bojchevski · Stephan Günnemann
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Certified Adversarial Robustness with Additive Noise
In Algorithms -- Adversarial Learning
Bai Li · Changyou Chen · Wenlin Wang · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
In Algorithms -- Adversarial Learning
Haichao Zhang · Jianyu Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
Efficient online learning with kernels for adversarial large scale problems
In Algorithms -- Adversarial Learning
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #10
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
In Algorithms -- Adversarial Learning
Saeed Mahloujifar · Xiao Zhang · Mohammad Mahmoody · David Evans
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #11
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
In Algorithms -- Adversarial Learning
Gunjan Verma · Ananthram Swami
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #12
Learning from Bad Data via Generation
In Algorithms -- Adversarial Learning
Tianyu Guo · Chang Xu · Boxin Shi · Chao Xu · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
Multi-marginal Wasserstein GAN
In Algorithms -- Adversarial Learning
Jiezhang Cao · Langyuan Mo · Yifan Zhang · Kui Jia · Chunhua Shen · Mingkui Tan
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
In Algorithms -- Adversarial Learning
Bao Wang · Zuoqiang Shi · Stanley Osher
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
In Algorithms -- Adversarial Learning
Yiwen Guo · Ziang Yan · Changshui Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
In Algorithms -- Adversarial Learning
Xiangyi Chen · Sijia Liu · Kaidi Xu · Xingguo Li · Xue Lin · Mingyi Hong · David Cox
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Blocking Bandits
In Algorithms -- Bandit Algorithms
Soumya Basu · Rajat Sen · Sujay Sanghavi · Sanjay Shakkottai
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Combinatorial Bandits with Relative Feedback
In Algorithms -- Bandit Algorithms
Aadirupa Saha · Aditya Gopalan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
Decentralized Cooperative Stochastic Bandits
In Algorithms -- Bandit Algorithms
David Martínez-Rubio · Varun Kanade · Patrick Rebeschini
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #20
Doubly-Robust Lasso Bandit
In Algorithms -- Bandit Algorithms
Gi-Soo Kim · Myunghee Cho Paik
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #21
Efficient Pure Exploration in Adaptive Round Model
In Algorithms -- Bandit Algorithms
Tianyuan Jin · Jieming SHI · Xiaokui Xiao · Enhong Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #22
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
In Algorithms -- Bandit Algorithms
Sivan Sabato
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #23
Nonstochastic Multiarmed Bandits with Unrestricted Delays
In Algorithms -- Bandit Algorithms
Tobias Sommer Thune · Nicolò Cesa-Bianchi · Yevgeny Seldin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #24
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
In Algorithms -- Bandit Algorithms
Baekjin Kim · Ambuj Tewari
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #25
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints
In Algorithms -- Bandit Algorithms
David Simchi-Levi · Yunzong Xu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #26
Polynomial Cost of Adaptation for X-Armed Bandits
In Algorithms -- Bandit Algorithms
Hedi Hadiji
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #27
Semi-Parametric Dynamic Contextual Pricing
In Algorithms -- Bandit Algorithms
Virag Shah · Ramesh Johari · Jose Blanchet
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #28
Coresets for Clustering with Fairness Constraints
In Algorithms -- Clustering
Lingxiao Huang · Shaofeng Jiang · Nisheeth Vishnoi
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #29
Correlation Clustering with Adaptive Similarity Queries
In Algorithms -- Clustering
Marco Bressan · Nicolò Cesa-Bianchi · Andrea Paudice · Fabio Vitale
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #30
Correlation clustering with local objectives
In Algorithms -- Clustering
Sanchit Kalhan · Konstantin Makarychev · Timothy Zhou
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #31
Foundations of Comparison-Based Hierarchical Clustering
In Algorithms -- Clustering
Debarghya Ghoshdastidar · Michaël Perrot · Ulrike von Luxburg
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #32
Fully Dynamic Consistent Facility Location
In Algorithms -- Clustering
Vincent Cohen-Addad · Niklas Oskar D Hjuler · Nikos Parotsidis · David Saulpic · Chris Schwiegelshohn
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #33
Greedy Sampling for Approximate Clustering in the Presence of Outliers
In Algorithms -- Clustering
Aditya Bhaskara · Sharvaree Vadgama · Hong Xu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #34
k-Means Clustering of Lines for Big Data
In Algorithms -- Clustering
Yair Marom · Dan Feldman
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Near Neighbor: Who is the Fairest of Them All?
In Algorithms -- Clustering
Sariel Har-Peled · Sepideh Mahabadi
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
In Algorithms -- Clustering
Stefan Meintrup · Alexander Munteanu · Dennis Rohde
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
Same-Cluster Querying for Overlapping Clusters
In Algorithms -- Clustering
Wasim Huleihel · Arya Mazumdar · Muriel Medard · Soumyabrata Pal
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Selective Sampling-based Scalable Sparse Subspace Clustering
In Algorithms -- Clustering
Shin Matsushima · Maria Brbic
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Spectral Modification of Graphs for Improved Spectral Clustering
In Algorithms -- Clustering
Ioannis Koutis · Huong Le
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Subquadratic High-Dimensional Hierarchical Clustering
In Algorithms -- Clustering
Amir Abboud · Vincent Cohen-Addad · Hussein Houdrouge
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Ultra Fast Medoid Identification via Correlated Sequential Halving
In Algorithms -- Clustering
Tavor Baharav · David Tse
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Ultrametric Fitting by Gradient Descent
In Algorithms -- Clustering
Giovanni Chierchia · Benjamin Perret
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Backpropagation-Friendly Eigendecomposition
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Wei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Learning-Based Low-Rank Approximations
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Piotr Indyk · Ali Vakilian · Yang Yuan
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Sobolev Independence Criterion
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Youssef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
Towards a Zero-One Law for Column Subset Selection
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Zhao Song · David Woodruff · Peilin Zhong
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Fisher Efficient Inference of Intractable Models
In Algorithms -- Density Estimation
Song Liu · Takafumi Kanamori · Wittawat Jitkrittum · Yu Chen
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
Learning Distributions Generated by One-Layer ReLU Networks
In Algorithms -- Density Estimation
Shanshan Wu · Alex Dimakis · Sujay Sanghavi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
On Fenchel Mini-Max Learning
In Algorithms -- Density Estimation
Chenyang Tao · Liqun Chen · Shuyang Dai · Junya Chen · Ke Bai · Dong Wang · Jianfeng Feng · Wenlian Lu · Georgiy Bobashev · Lawrence Carin
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Practical and Consistent Estimation of f-Divergences
In Algorithms -- Density Estimation
Paul Rubenstein · Olivier Bousquet · Josip Djolonga · Carlos Riquelme · Ilya Tolstikhin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
Re-examination of the Role of Latent Variables in Sequence Modeling
In Algorithms -- Density Estimation
Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Space and Time Efficient Kernel Density Estimation in High Dimensions
In Algorithms -- Density Estimation
Arturs Backurs · Piotr Indyk · Tal Wagner
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Unconstrained Monotonic Neural Networks
In Algorithms -- Density Estimation
Antoine Wehenkel · Gilles Louppe
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #55
Mutually Regressive Point Processes
In Algorithms -- Dynamical Systems
Ifigeneia Apostolopoulou · Scott Linderman · Kyle Miller · Artur Dubrawski
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #56
Neural Networks with Cheap Differential Operators
In Algorithms -- Dynamical Systems
Tian Qi Chen · David Duvenaud
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #57
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
In Algorithms -- Kernel Methods
Motonobu Kanagawa · Philipp Hennig
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #58
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
In Algorithms -- Kernel Methods
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #59
Kernel Instrumental Variable Regression
In Algorithms -- Kernel Methods
Rahul Singh · Maneesh Sahani · Arthur Gretton
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #60
Kernel Stein Tests for Multiple Model Comparison
In Algorithms -- Kernel Methods
Jen Ning Lim · Makoto Yamada · Bernhard Schölkopf · Wittawat Jitkrittum
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #61
On Exact Computation with an Infinitely Wide Neural Net
In Algorithms -- Kernel Methods
Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
Solving Interpretable Kernel Dimensionality Reduction
In Algorithms -- Kernel Methods
Chieh Wu · Jared Miller · Yale Chang · Mario Sznaier · Jennifer Dy
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
In Algorithms -- Missing Data
Wei Ma · George H Chen
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
In Algorithms -- Representation Learning
Fenglin Liu · Yuanxin Liu · Xuancheng Ren · Xiaodong He · Xu Sun
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Augmented Neural ODEs
In Algorithms -- Representation Learning
Emilien Dupont · Arnaud Doucet · Yee Whye Teh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
In Algorithms -- Representation Learning
Denis Mazur · Vage Egiazarian · Stanislav Morozov · Artem Babenko
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Exact Rate-Distortion in Autoencoders via Echo Noise
In Algorithms -- Representation Learning
Rob Brekelmans · Daniel Moyer · Aram Galstyan · Greg Ver Steeg
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Information Competing Process for Learning Diversified Representations
In Algorithms -- Representation Learning
Jie Hu · Rongrong Ji · ShengChuan Zhang · Xiaoshuai Sun · Qixiang Ye · Chia-Wen Lin · Qi Tian
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
Learning low-dimensional state embeddings and metastable clusters from time series data
In Algorithms -- Representation Learning
Yifan Sun · Yaqi Duan · Hao Gong · Mengdi Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Learning Nonsymmetric Determinantal Point Processes
In Algorithms -- Representation Learning
Mike Gartrell · Victor-Emmanuel Brunel · Elvis Dohmatob · Syrine Krichene
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
Provably Powerful Graph Networks
In Algorithms -- Representation Learning
Haggai Maron · Heli Ben-Hamu · Hadar Serviansky · Yaron Lipman
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #72
Quaternion Knowledge Graph Embeddings
In Algorithms -- Representation Learning
SHUAI ZHANG · Yi Tay · Lina Yao · Qi Liu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #73
Semi-supervisedly Co-embedding Attributed Networks
In Algorithms -- Representation Learning
Zaiqiao Meng · Shangsong Liang · Jinyuan Fang · Teng Xiao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #74
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
In Algorithms -- Similarity and Distance Learning
Arun Jambulapati · Aaron Sidford · Kevin Tian
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #75
Conditional Independence Testing using Generative Adversarial Networks
In Algorithms -- Similarity and Distance Learning
Alexis Bellot · Mihaela van der Schaar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #76
Generalized Sliced Wasserstein Distances
In Algorithms -- Similarity and Distance Learning
Soheil Kolouri · Kimia Nadjahi · Umut Simsekli · Roland Badeau · Gustavo Rohde
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #77
Hyperspherical Prototype Networks
In Algorithms -- Similarity and Distance Learning
Pascal Mettes · Elise van der Pol · Cees Snoek
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #78
Input Similarity from the Neural Network Perspective
In Algorithms -- Similarity and Distance Learning
Guillaume Charpiat · Nicolas Girard · Loris Felardos · Yuliya Tarabalka
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #79
Landmark Ordinal Embedding
In Algorithms -- Similarity and Distance Learning
Nikhil Ghosh · Yuxin Chen · Yisong Yue
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #80
Tree-Sliced Variants of Wasserstein Distances
In Algorithms -- Similarity and Distance Learning
Tam Le · Makoto Yamada · Kenji Fukumizu · Marco Cuturi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #81
Communication-efficient Distributed SGD with Sketching
In Applications -- Communication- or Memory-Bounded Learning
Nikita Ivkin · Daniel Rothchild · Enayat Ullah · Vladimir Braverman · Ion Stoica · Raman Arora
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #82
Order Optimal One-Shot Distributed Learning
In Applications -- Communication- or Memory-Bounded Learning
Arsalan Sharifnassab · Saber Salehkaleybar · S. Jamaloddin Golestani
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #83
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
In Applications -- Dialog- or Communication-Based Learning
Asma Ghandeharioun · Judy Hanwen Shen · Natasha Jaques · Craig Ferguson · Noah Jones · Agata Lapedriza · Rosalind Picard
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #84
Game Design for Eliciting Distinguishable Behavior
In Applications -- Game Playing
Fan Yang · Liu Leqi · Yifan Wu · Zachary Lipton · Pradeep Ravikumar · Tom M Mitchell · William Cohen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
Adversarial Examples Are Not Bugs, They Are Features
In Applications -- Privacy, Anonymity, and Security
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
In Applications -- Privacy, Anonymity, and Security
Mark Bun · Thomas Steinke
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Capacity Bounded Differential Privacy
In Applications -- Privacy, Anonymity, and Security
Kamalika Chaudhuri · Jacob Imola · Ashwin Machanavajjhala
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
Differentially Private Anonymized Histograms
In Applications -- Privacy, Anonymity, and Security
Ananda Theertha Suresh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
In Applications -- Privacy, Anonymity, and Security
James Jordon · Jinsung Yoon · Mihaela van der Schaar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Differentially Private Bayesian Linear Regression
In Applications -- Privacy, Anonymity, and Security
Garrett Bernstein · Daniel Sheldon
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
In Applications -- Privacy, Anonymity, and Security
Jonathan Ullman · Adam Sealfon
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
Locally Private Gaussian Estimation
In Applications -- Privacy, Anonymity, and Security
Matthew Joseph · Janardhan Kulkarni · Jieming Mao · Steven Wu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
In Applications -- Privacy, Anonymity, and Security
Xiyang Liu · Sewoong Oh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
In Applications -- Privacy, Anonymity, and Security
Gautam Kamath · Or Sheffet · Vikrant Singhal · Jonathan Ullman
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
Partially Encrypted Deep Learning using Functional Encryption
In Applications -- Privacy, Anonymity, and Security
Théo Ryffel · David Pointcheval · Francis Bach · Edouard Dufour-Sans · Romain Gay
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
In Applications -- Privacy, Anonymity, and Security
Devin Reich · Ariel Todoki · Rafael Dowsley · Martine De Cock · Anderson Nascimento
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #97
Reward Constrained Interactive Recommendation with Natural Language Feedback
In Applications -- Recommender Systems
Ruiyi Zhang · Tong Yu · Yilin Shen · Hongxia Jin · Changyou Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #98
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
In Applications -- Recommender Systems
Xueying Bai · Jian Guan · Hongning Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #99
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
In Applications -- Recommender Systems
Han Zhu · Daqing Chang · Ziru Xu · Pengye Zhang · Xiang Li · Jie He · Han Li · Jian Xu · Kun Gai
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #100
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
In Applications -- Web Applications and Internet Data
Qianqian Xu · Xinwei Sun · Zhiyong Yang · Xiaochun Cao · Qingming Huang · Yuan Yao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #101
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
In Deep Learning -- Biologically Plausible Deep Networks
Dina Obeid · Hugo Ramambason · Cengiz Pehlevan
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #102
Deep Learning without Weight Transport
In Deep Learning -- Biologically Plausible Deep Networks
Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas Tweed
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #103
Neural networks grown and self-organized by noise
In Deep Learning -- Biologically Plausible Deep Networks
Guruprasad Raghavan · Matt Thomson
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #104
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
In Deep Learning -- Biologically Plausible Deep Networks
Wenrui Zhang · Peng Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #105
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
In Deep Learning -- Biologically Plausible Deep Networks
Hosein Hasani · Mahdieh Soleymani · Hamid Aghajan
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #106
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
In Deep Learning -- Biologically Plausible Deep Networks
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #107
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling
In Deep Learning -- Deep Autoencoders
Bichuan Guo · Yuxing Han · Jiangtao Wen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #108
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
In Deep Learning -- Deep Autoencoders
Gunpil Hwang · Seohyeon Kim · Hyeon-Min Bae
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #109
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
In Deep Learning -- Deep Autoencoders
Emile Mathieu · Charline Le Lan · Chris Maddison · Ryota Tomioka · Yee Whye Teh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #110
Channel Gating Neural Networks
In Deep Learning -- Efficient Inference Methods
Weizhe Hua · Yuan Zhou · Christopher De Sa · Zhiru Zhang · G. Edward Suh
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #111
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
In Deep Learning -- Efficient Inference Methods
Hattie Zhou · Janice Lan · Rosanne Liu · Jason Yosinski
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #112
Point-Voxel CNN for Efficient 3D Deep Learning
In Deep Learning -- Efficient Inference Methods
Zhijian Liu · Haotian Tang · Yujun Lin · Song Han
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #113
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
In Deep Learning -- Efficient Inference Methods
Zhonghui You · Kun Yan · Jinmian Ye · Meng Ma · Ping Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #114
Inherent Weight Normalization in Stochastic Neural Networks
In Deep Learning -- Efficient Inference Methods
Georgios Detorakis · Sourav Dutta · Abhishek Khanna · Matthew Jerry · Suman Datta · Emre O Neftci
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #115
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
In Deep Learning -- Efficient Inference Methods
Shangyu Chen · Wenya Wang · Sinno Jialin Pan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #116
Model Compression with Adversarial Robustness: A Unified Optimization Framework
In Deep Learning -- Efficient Inference Methods
Shupeng Gui · Haotao Wang · Haichuan Yang · Chen Yu · Zhangyang Wang · Ji Liu
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #117
Positive-Unlabeled Compression on the Cloud
In Deep Learning -- Efficient Inference Methods
Yixing Xu · Yunhe Wang · Hanting Chen · Kai Han · Chunjing XU · Dacheng Tao · Chang Xu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #118
A Primal-Dual link between GANs and Autoencoders
In Deep Learning -- Generative Models
Hisham Husain · Richard Nock · Robert Williamson
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #119
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
In Deep Learning -- Generative Models
Maxim Kuznetsov · Daniil Polykovskiy · Dmitry Vetrov · Alex Zhebrak
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #120
Adversarial Self-Defense for Cycle-Consistent GANs
In Deep Learning -- Generative Models
Dina Bashkirova · Ben Usman · Kate Saenko
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #121
Controllable Text-to-Image Generation
In Deep Learning -- Generative Models
Bowen Li · Xiaojuan Qi · Thomas Lukasiewicz · Philip Torr
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #122
Dancing to Music
In Deep Learning -- Generative Models
Hsin-Ying Lee · Xiaodong Yang · Ming-Yu Liu · Ting-Chun Wang · Yu-Ding Lu · Ming-Hsuan Yang · Jan Kautz
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #123
DppNet: Approximating Determinantal Point Processes with Deep Networks
In Deep Learning -- Generative Models
Zelda Mariet · Yaniv Ovadia · Jasper Snoek
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #124
Efficient Graph Generation with Graph Recurrent Attention Networks
In Deep Learning -- Generative Models
Renjie Liao · Yujia Li · Yang Song · Shenlong Wang · Will Hamilton · David Duvenaud · Raquel Urtasun · Richard Zemel
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #125
Explicit Disentanglement of Appearance and Perspective in Generative Models
In Deep Learning -- Generative Models
Nicki Skafte · Søren Hauberg
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #126
Flow-based Image-to-Image Translation with Feature Disentanglement
In Deep Learning -- Generative Models
Ruho Kondo · Keisuke Kawano · Satoshi Koide · Takuro Kutsuna
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #127
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
In Deep Learning -- Generative Models
Bingzhe Wu · Shiwan Zhao · Chaochao Chen · Haoyang Xu · Li Wang · Xiaolu Zhang · Guangyu Sun · Jun Zhou
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #128
Improved Precision and Recall Metric for Assessing Generative Models
In Deep Learning -- Generative Models
Tuomas Kynkäänniemi · Tero Karras · Samuli Laine · Jaakko Lehtinen · Timo Aila
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #129
Knowledge Extraction with No Observable Data
In Deep Learning -- Generative Models
Jaemin Yoo · Minyong Cho · Taebum Kim · U Kang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #130
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
In Deep Learning -- Generative Models
Tingting Qiao · Jing Zhang · Duanqing Xu · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #131
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
In Deep Learning -- Generative Models
Yikang LI · Tao Ma · Yeqi Bai · Nan Duan · Sining Wei · Xiaogang Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #132
Sequential Neural Processes
In Deep Learning -- Generative Models
Gautam Singh · Jaesik Yoon · Youngsung Son · Sungjin Ahn
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #133
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
In Deep Learning -- Generative Models
Yunji Kim · Seonghyeon Nam · In Cho · Seon Joo Kim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #134
GNNExplainer: Generating Explanations for Graph Neural Networks
In Deep Learning -- Interaction-Based Deep Networks
Zhitao Ying · Dylan Bourgeois · Jiaxuan You · Marinka Zitnik · Jure Leskovec
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #135
An Improved Analysis of Training Over-parameterized Deep Neural Networks
In Deep Learning -- Optimization for Deep Networks
Difan Zou · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #136
Controlling Neural Level Sets
In Deep Learning -- Optimization for Deep Networks
Matan Atzmon · Niv Haim · Lior Yariv · Ofer Israelov · Haggai Maron · Yaron Lipman
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #137
Deep Equilibrium Models
In Deep Learning -- Optimization for Deep Networks
Shaojie Bai · J. Zico Kolter · Vladlen Koltun
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #138
Differentiable Cloth Simulation for Inverse Problems
In Deep Learning -- Optimization for Deep Networks
Junbang Liang · Ming Lin · Vladlen Koltun
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #139
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
In Deep Learning -- Optimization for Deep Networks
Mahyar Fazlyab · Alexander Robey · Hamed Hassani · Manfred Morari · George J. Pappas
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #140
Fine-grained Optimization of Deep Neural Networks
In Deep Learning -- Optimization for Deep Networks
Mete Ozay
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #141
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
In Deep Learning -- Optimization for Deep Networks
Yuan Cao · Quanquan Gu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #142
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
In Deep Learning -- Optimization for Deep Networks
Lili Su · Pengkun Yang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #143
Stagewise Training Accelerates Convergence of Testing Error Over SGD
In Deep Learning -- Optimization for Deep Networks
Zhuoning Yuan · Yan Yan · Rong Jin · Tianbao Yang
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #144
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
In Deep Learning -- Optimization for Deep Networks
Yuanzhi Li · Colin Wei · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #145
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
In Deep Learning -- Optimization for Deep Networks
Dinghuai Zhang · Tianyuan Zhang · Yiping Lu · Zhanxing Zhu · Bin Dong
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #146
A Simple Baseline for Bayesian Uncertainty in Deep Learning
In Deep Learning -- Predictive Models
Wesley Maddox · Pavel Izmailov · Timur Garipov · Dmitry Vetrov · Andrew Gordon Wilson
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #148
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
In Deep Learning -- Predictive Models
Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149
Unsupervised learning of object structure and dynamics from videos
In Deep Learning -- Predictive Models
Matthias Minderer · Chen Sun · Ruben Villegas · Forrester Cole · Kevin Murphy · Honglak Lee
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #150
Can SGD Learn Recurrent Neural Networks with Provable Generalization?
In Deep Learning -- Recurrent Networks
Zeyuan Allen-Zhu · Yuanzhi Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #151
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
In Deep Learning -- Recurrent Networks
Aya Abdelsalam Ismail · Mohamed Gunady · Luiz Pessoa · Hector Corrada Bravo · Soheil Feizi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #152
Input-Output Equivalence of Unitary and Contractive RNNs
In Deep Learning -- Recurrent Networks
Melikasadat Emami · Mojtaba Sahraee Ardakan · Sundeep Rangan · Alyson Fletcher
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #153
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
In Deep Learning -- Recurrent Networks
Kevin J Liang · Guoyin Wang · Yitong Li · Ricardo Henao · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #154
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
In Deep Learning -- Recurrent Networks
Aaron Voelker · Ivana Kajić · Chris Eliasmith
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #155
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
In Deep Learning -- Recurrent Networks
Giancarlo Kerg · Kyle Goyette · Maximilian Puelma Touzel · Gauthier Gidel · Eugene Vorontsov · Yoshua Bengio · Guillaume Lajoie
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #156
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
In Deep Learning -- Recurrent Networks
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #157
Root Mean Square Layer Normalization
In Deep Learning -- Recurrent Networks
Biao Zhang · Rico Sennrich
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #158
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
In Deep Learning -- Recurrent Networks
Joshua Hanson · Maxim Raginsky
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #159
A Benchmark for Interpretability Methods in Deep Neural Networks
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Sara Hooker · Dumitru Erhan · Pieter-Jan Kindermans · Been Kim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #160
Accurate, reliable and fast robustness evaluation
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Wieland Brendel · Jonas Rauber · Matthias Kümmerer · Ivan Ustyuzhaninov · Matthias Bethge
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #161
Approximate Feature Collisions in Neural Nets
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Ke Li · Tianhao Zhang · Jitendra Malik
[ Paper] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #162
Computing Linear Restrictions of Neural Networks
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Matthew Sotoudeh · Aditya V Thakur
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #163
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Patrick Schwab · Walter Karlen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #164
Deliberative Explanations: visualizing network insecurities
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Pei Wang · Nuno Nvasconcelos
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #165
Explanations can be manipulated and geometry is to blame
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Ann-Kathrin Dombrowski · Maximillian Alber · Christopher Anders · Marcel Ackermann · Klaus-Robert Müller · Pan Kessel
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #166
Fooling Neural Network Interpretations via Adversarial Model Manipulation
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Juyeon Heo · Sunghwan Joo · Taesup Moon
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #167
Full-Gradient Representation for Neural Network Visualization
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Suraj Srinivas · François Fleuret
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #168
Grid Saliency for Context Explanations of Semantic Segmentation
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Lukas Hoyer · Mauricio Munoz · Prateek Katiyar · Anna Khoreva · Volker Fischer
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #169
Intrinsic dimension of data representations in deep neural networks
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Alessio Ansuini · Alessandro Laio · Jakob H Macke · Davide Zoccolan
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #170
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Ari Morcos · Haonan Yu · Michela Paganini · Yuandong Tian
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #171
The Geometry of Deep Networks: Power Diagram Subdivision
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Randall Balestriero · Romain Cosentino · Behnaam Aazhang · Richard Baraniuk
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #172
Visualizing and Measuring the Geometry of BERT
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Emily Reif · Ann Yuan · Martin Wattenberg · Fernanda Viegas · Andy Coenen · Adam Pearce · Been Kim
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #173
Visualizing the PHATE of Neural Networks
In Deep Learning -- Visualization or Exposition Techniques for Deep Networks
Scott Gigante · Adam S Charles · Smita Krishnaswamy · Gal Mishne
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #174
A Graph Theoretic Additive Approximation of Optimal Transport
In Optimization -- Combinatorial Optimization
Nathaniel Lahn · Deepika Mulchandani · Sharath Raghvendra
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #175
Combinatorial Bayesian Optimization using the Graph Cartesian Product
In Optimization -- Combinatorial Optimization
Changyong Oh · Jakub Tomczak · Stratis Gavves · Max Welling
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #176
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
In Optimization -- Combinatorial Optimization
Maxime Gasse · Didier Chetelat · Nicola Ferroni · Laurent Charlin · Andrea Lodi
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #177
Learning Local Search Heuristics for Boolean Satisfiability
In Optimization -- Combinatorial Optimization
Emre Yolcu · Barnabas Poczos
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #178
Learning to Perform Local Rewriting for Combinatorial Optimization
In Optimization -- Combinatorial Optimization
Xinyun Chen · Yuandong Tian
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #179
Adapting Neural Networks for the Estimation of Treatment Effects
In Probabilistic Methods -- Causal Inference
Claudia Shi · David Blei · Victor Veitch
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #180
Causal Regularization
In Probabilistic Methods -- Causal Inference
Dominik Janzing
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #181
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
In Probabilistic Methods -- Causal Inference
Murat Kocaoglu · Amin Jaber · Karthikeyan Shanmugam · Elias Bareinboim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #182
Debiased Bayesian inference for average treatment effects
In Probabilistic Methods -- Causal Inference
Kolyan Ray · Botond Szabo
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #183
Deep Generalized Method of Moments for Instrumental Variable Analysis
In Probabilistic Methods -- Causal Inference
Andrew Bennett · Nathan Kallus · Tobias Schnabel
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #184
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
In Probabilistic Methods -- Causal Inference
Daniel Kumor · Bryant Chen · Elias Bareinboim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #185
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
In Probabilistic Methods -- Causal Inference
Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #186
Identification of Conditional Causal Effects under Markov Equivalence
In Probabilistic Methods -- Causal Inference
Amin Jaber · Jiji Zhang · Elias Bareinboim
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #187
Variance Reduction in Bipartite Experiments through Correlation Clustering
In Probabilistic Methods -- Causal Inference
Jean Pouget-Abadie · Kevin Aydin · Warren Schudy · Kay Brodersen · Vahab Mirrokni
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #188
Generalized Off-Policy Actor-Critic
In Reinforcement Learning and Planning -- Decision and Control
Shangtong Zhang · Wendelin Boehmer · Shimon Whiteson
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #189
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
In Reinforcement Learning and Planning -- Decision and Control
Sebastian Tschiatschek · Ahana Ghosh · Luis Haug · Rati Devidze · Adish Singla
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #190
Logarithmic Regret for Online Control
In Reinforcement Learning and Planning -- Decision and Control
Naman Agarwal · Elad Hazan · Karan Singh
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #191
Adaptive Auxiliary Task Weighting for Reinforcement Learning
In Reinforcement Learning and Planning -- Decision and Control
Xingyu Lin · Harjatin Baweja · George Kantor · David Held
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #192
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
In Reinforcement Learning and Planning -- Exploration
Francisco Garcia · Philip Thomas
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #193
Limiting Extrapolation in Linear Approximate Value Iteration
In Reinforcement Learning and Planning -- Exploration
Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #194
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
In Reinforcement Learning and Planning -- Exploration
Alberto Maria Metelli · Amarildo Likmeta · Marcello Restelli
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #195
Provably Efficient Q-Learning with Low Switching Cost
In Reinforcement Learning and Planning -- Exploration
Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #196
Regret Bounds for Learning State Representations in Reinforcement Learning
In Reinforcement Learning and Planning -- Exploration
Ronald Ortner · Matteo Pirotta · Alessandro Lazaric · Ronan Fruit · Odalric-Ambrym Maillard
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #197
Safe Exploration for Interactive Machine Learning
In Reinforcement Learning and Planning -- Exploration
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #198
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
In Reinforcement Learning and Planning -- Exploration
David Janz · Jiri Hron · Przemysław Mazur · Katja Hofmann · José Miguel Hernández-Lobato · Sebastian Tschiatschek
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #199
A Family of Robust Stochastic Operators for Reinforcement Learning
In Reinforcement Learning and Planning -- Markov Decision Processes
Yingdong Lu · Mark Squillante · Chai Wah Wu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #200
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
In Reinforcement Learning and Planning -- Markov Decision Processes
Felix Leibfried · Sergio Pascual-Díaz · Jordi Grau-Moya
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #201
Finite-Sample Analysis for SARSA with Linear Function Approximation
In Reinforcement Learning and Planning -- Markov Decision Processes
Shaofeng Zou · Tengyu Xu · Yingbin Liang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #202
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
In Reinforcement Learning and Planning -- Markov Decision Processes
Falcon Dai · Matthew Walter
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #203
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
In Reinforcement Learning and Planning -- Markov Decision Processes
Max Simchowitz · Kevin Jamieson
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #204
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
In Reinforcement Learning and Planning -- Markov Decision Processes
Wang Chi Cheung
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #205
Sampling Networks and Aggregate Simulation for Online POMDP Planning
In Reinforcement Learning and Planning -- Markov Decision Processes
Hao(Jackson) Cui · Roni Khardon
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #206
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
In Reinforcement Learning and Planning -- Markov Decision Processes
Tengyu Xu · Shaofeng Zou · Yingbin Liang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #207
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm
In Reinforcement Learning and Planning -- Markov Decision Processes
Amir-massoud Farahmand
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #208
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
In Reinforcement Learning and Planning -- Navigation
Himanshu Sahni · Toby Buckley · Pieter Abbeel · Ilya Kuzovkin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #209
Chasing Ghosts: Instruction Following as Bayesian State Tracking
In Reinforcement Learning and Planning -- Navigation
Peter Anderson · Ayush Shrivastava · Devi Parikh · Dhruv Batra · Stefan Lee
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #210
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
In Theory -- Computational Complexity
Boaz Barak · Chi-Ning Chou · Zhixian Lei · Tselil Schramm · Yueqi Sheng
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #211
The Parameterized Complexity of Cascading Portfolio Scheduling
In Theory -- Computational Complexity
Eduard Eiben · Robert Ganian · Iyad Kanj · Stefan Szeider
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #212
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
In Theory -- Frequentist Statistics
Jinjin Tian · Aaditya Ramdas
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #213
Conformal Prediction Under Covariate Shift
In Theory -- Frequentist Statistics
Ryan Tibshirani · Rina Barber · Emmanuel Candes · Aaditya Ramdas
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #214
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
In Theory -- Hardness of Learning and Approximations
Ryoma Sato · Makoto Yamada · Hisashi Kashima
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #215
Deep ReLU Networks Have Surprisingly Few Activation Patterns
In Theory -- Hardness of Learning and Approximations
Boris Hanin · David Rolnick
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #216
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
In Theory -- Hardness of Learning and Approximations
Minshuo Chen · Haoming Jiang · Wenjing Liao · Tuo Zhao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #217
Efficient Deep Approximation of GMMs
In Theory -- Hardness of Learning and Approximations
Shirin Jalali · Carl Nuzman · Iraj Saniee
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #218
Universal Invariant and Equivariant Graph Neural Networks
In Theory -- Hardness of Learning and Approximations
Nicolas Keriven · Gabriel Peyré
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
In Theory -- Learning Theory
Fengxiang He · Tongliang Liu · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
In Theory -- Learning Theory
Colin Wei · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
Exact inference in structured prediction
In Theory -- Learning Theory
Kevin Bello · Jean Honorio
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
In Theory -- Learning Theory
Bryon Aragam · Arash Amini · Qing Zhou
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
List-decodable Linear Regression
In Theory -- Learning Theory
Sushrut Karmalkar · Adam Klivans · Pravesh Kothari
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
On the Calibration of Multiclass Classification with Rejection
In Theory -- Learning Theory
Chenri Ni · Nontawat Charoenphakdee · Junya Honda · Masashi Sugiyama
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
On the Hardness of Robust Classification
In Theory -- Learning Theory
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
In Theory -- Learning Theory
Chen Dan · Hong Wang · Hongyang Zhang · Yuchen Zhou · Pradeep Ravikumar
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
PAC-Bayes under potentially heavy tails
In Theory -- Learning Theory
Matthew Holland
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
In Theory -- Learning Theory
Yihe Dong · Samuel Hopkins · Jerry Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Uniform convergence may be unable to explain generalization in deep learning
In Theory -- Learning Theory
Vaishnavh Nagarajan · J. Zico Kolter
Break
Tue Dec 10 12:45 PM -- 02:15 PM (PST)
Lunch Break on Your Own
Invited Talk
Tue Dec 10 02:15 PM -- 03:05 PM (PST) @ West Exhibition Hall C + B3
Machine Learning Meets Single-Cell Biology: Insights and Challenges
Dana Pe'er
Invited Talk
Tue Dec 10 03:05 PM -- 03:25 PM (PST) @ West Exhibition Hall C + B3
Test of Time
Break
Tue Dec 10 03:25 PM -- 04:10 PM (PST) @ West and East
Coffee Break
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
In Track 2 Session 2
Clarice Poon · Jingwei Liang
[ Paper]  [ Slides] 
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom C
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
In Track 4 Session 2
Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
[ Paper]  [ Slides]  [ Slides] 
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom A + B
Causal Confusion in Imitation Learning
In Track 3 Session 2
Pim de Haan · Dinesh Jayaraman · Sergey Levine
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
Generative Modeling by Estimating Gradients of the Data Distribution
In Track 1 Session 2
Yang Song · Stefano Ermon
[ Paper]  [ Poster] 
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Exhibition Hall A
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
In Track 2 Session 2
Haowei He · Gao Huang · Yang Yuan
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Ballroom C
Scalable Global Optimization via Local Bayesian Optimization
In Track 4 Session 2
David Eriksson · Michael Pearce · Jacob Gardner · Ryan Turner · Matthias Poloczek
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Ballroom A + B
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
In Track 3 Session 2
Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Exhibition Hall C + B3
Learning Hierarchical Priors in VAEs
In Track 1 Session 2
Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Exhibition Hall A
Reducing the variance in online optimization by transporting past gradients
In Track 2 Session 2
Sébastien Arnold · Pierre-Antoine Manzagol · Reza Babanezhad Harikandeh · Ioannis Mitliagkas · Nicolas Le Roux
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Ballroom C
Uncertainty on Asynchronous Time Event Prediction
In Track 4 Session 2
Marin Biloš · Bertrand Charpentier · Stephan Günnemann
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Ballroom A + B
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
In Track 3 Session 2
Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros
[ Paper]  [ Slides] 
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Exhibition Hall C + B3
Implicit Generation and Modeling with Energy Based Models
In Track 1 Session 2
Yilun Du · Igor Mordatch
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Exhibition Hall A
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
In Track 2 Session 2
Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Ballroom C
Bayesian Optimization under Heavy-tailed Payoffs
In Track 4 Session 2
Sayak Ray Chowdhury · Aditya Gopalan
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Ballroom A + B
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
In Track 3 Session 2
Nicolas Carion · Nicolas Usunier · Gabriel Synnaeve · Alessandro Lazaric
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
Invertible Convolutional Flow
In Track 1 Session 2
Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Fast and Provable ADMM for Learning with Generative Priors
In Track 2 Session 2
Fabian Latorre · Armin eftekhari · Volkan Cevher
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Variational Bayesian Optimal Experimental Design
In Track 4 Session 2
Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Ballroom A + B
Learning Compositional Neural Programs with Recursive Tree Search and Planning
In Track 3 Session 2
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Residual Flows for Invertible Generative Modeling
In Track 1 Session 2
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall A
Complexity of Highly Parallel Non-Smooth Convex Optimization
In Track 2 Session 2
Sebastien Bubeck · Qijia Jiang · Yin-Tat Lee · Yuanzhi Li · Aaron Sidford
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Implicit Posterior Variational Inference for Deep Gaussian Processes
In Track 4 Session 2
Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Ballroom A + B
Guided Meta-Policy Search
In Track 3 Session 2
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
In Track 1 Session 2
Chaoyou Fu · Xiang Wu · Yibo Hu · Huaibo Huang · Ran He
[ Paper]  [ Poster]  [ Slides] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall A
Necessary and Sufficient Geometries for Gradient Methods
In Track 2 Session 2
Daniel Levy · John Duchi
[ Paper]  [ Poster] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom C
Parameter elimination in particle Gibbs sampling
In Track 4 Session 2
Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom A + B
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In Track 3 Session 2
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
[ Paper]  [ Poster] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall C + B3
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
In Track 1 Session 2
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein
[ Paper]  [ Poster] 
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Exhibition Hall A
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
In Track 2 Session 2
Nikolas Ioannou · Celestine Mendler-Dünner · Thomas Parnell
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Ballroom C
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
In Track 4 Session 2
Justin Domke · Daniel Sheldon
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Ballroom A + B
Better Exploration with Optimistic Actor Critic
In Track 3 Session 2
Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Exhibition Hall C + B3
Adaptive Density Estimation for Generative Models
In Track 1 Session 2
Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Exhibition Hall A
Learning Positive Functions with Pseudo Mirror Descent
In Track 2 Session 2
Yingxiang Yang · Haoxiang Wang · Negar Kiyavash · Niao He
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Ballroom C
The Randomized Midpoint Method for Log-Concave Sampling
In Track 4 Session 2
Ruoqi Shen · Yin Tat Lee
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Ballroom A + B
Robust exploration in linear quadratic reinforcement learning
In Track 3 Session 2
Jack Umenberger · Mina Ferizbegovic · Thomas Schön · Håkan Hjalmarsson
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Exhibition Hall C + B3
Twin Auxilary Classifiers GAN
In Track 1 Session 2
Mingming Gong · Yanwu Xu · Chunyuan Li · Kun Zhang · Kayhan Batmanghelich
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Exhibition Hall A
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
In Track 2 Session 2
Ali Kavis · Kfir Y. Levy · Francis Bach · Volkan Cevher
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Ballroom C
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
In Track 4 Session 2
Ruqi Zhang · Christopher De Sa
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Ballroom A + B
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
In Track 3 Session 2
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Exhibition Hall C + B3
Adversarial Fisher Vectors for Unsupervised Representation Learning
In Track 1 Session 2
Shuangfei Zhai · Walter Talbott · Carlos Guestrin · Joshua Susskind
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Exhibition Hall A
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
In Track 2 Session 2
Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Ballroom C
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
In Track 4 Session 2
Adil Salim · Dmitry Kovalev · Peter Richtarik
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Ballroom A + B
Hindsight Credit Assignment
In Track 3 Session 2
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Exhibition Hall C + B3
Emergence of Object Segmentation in Perturbed Generative Models
In Track 1 Session 2
Adam Bielski · Paolo Favaro
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Exhibition Hall A
Learning dynamic polynomial proofs
In Track 2 Session 2
Alhussein Fawzi · Mateusz Malinowski · Hamza Fawzi · Omar Fawzi
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Ballroom C
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
In Track 4 Session 2
Xuechen (Chen) Li · Denny Wu · Lester Mackey · Murat Erdogdu
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Ballroom A + B
Weight Agnostic Neural Networks
In Track 3 Session 2
Adam Gaier · David Ha
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Exhibition Hall C + B3
Compression with Flows via Local Bits-Back Coding
In Track 1 Session 2
Jonathan Ho · Evan Lohn · Pieter Abbeel
[ Paper]  [ Slides]  [ Slides] 
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #801
exBERT: A Visual Analysis Tool to Explain BERT's Learned Representations
In Demos Tue
Benjamin Hoover · Hendrik Strobelt · Sebastian Gehrmann
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #802
Streamlit, a new app framework for machine learning tools
In Demos Tue
Adrien Treuille · Amanda Kelly
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #803
Discovering Neural Wirings Neural Network Visualizer
In Demos Tue
Alvaro Herrasti · Mitchell Wortsman
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #804
"How can this Paper get in?" - A game to advise researchers when writing for a top AI conference
In Demos Tue
Aabhas Sharma · Narendra Nath Joshi · Michael Muller · Casey Dugan
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #805___1
Robot-Assisted Hair-Brushing
In Demos Tue
Eura Shin · Hejia Zhang · Rey J Pocius · Nathaniel Dennler · Heather Culbertson · Naghmeh Zamani · Stefanos Nikolaidis
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #805___0
Toronto Annotation Suite
In Demos Tue
Amlan Kar · Sanja Fidler · Jun Gao · Seung Wook Kim · Huan Ling
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #806
Learning Machines can Curl - Adaptive Deep Reinforcement Learning enables the robot Curly to win against human players in an icy world
In Demos Tue
Dong-Ok Won · Sang-Hoon Lee · Klaus-Robert Müller · Seong-Whan Lee
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #807
Human Gesture Recognition using Spiking Input on Akida Neuromorphic Platform
In Demos Tue
Sounak Dey · Arijit Mukherjee · Gilles BEZARD · Douglas McLelland
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #808
GENO -- Optimization for Classical Machine Learning Made Fast and Easy
In Demos Tue
Sören Laue · Matthias Mitterreiter · Joachim Giesen
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #810
SCC: Deep Reinforcement Learning Agent plays StarCraft II at competitive human level
In Demos Tue
XJ Wang · Peng Peng
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #811
AI in Two-sided Ride-sharing Marketplace
In Demos Tue
Zhiwei Qin · Shikai Luo · lingyu zhang · yan jiao · Xiaocheng Tang · Lulu Zhang · hongtu zhu · Jieping Ye
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #812
NNgen: A Model-Specific Hardware Synthesis Compiler for Deep Neural Network
In Demos Tue
Shinya Takamaeda-Yamazaki · Shinya Fujisawa · Shuichi Fujisaki
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #813
Realtime Modeling and Anomaly Detection in Multivariate Data Streams
In Demos Tue
Christopher Hannon · Andrey Lokhov · Deep Deka
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #814
Empathy based Affective Portrait Painter
In Demos Tue
Steve DiPaola · Ozge Nilay YALCIN · Nouf Abukhodair
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #1
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
In Algorithms -- AutoML
Muhan Zhang · Shali Jiang · Zhicheng Cui · Roman Garnett · Yixin Chen
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #2
DATA: Differentiable ArchiTecture Approximation
In Algorithms -- AutoML
Jianlong Chang · xinbang zhang · Yiwen Guo · GAOFENG MENG · SHIMING XIANG · Chunhong Pan
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #3
DetNAS: Backbone Search for Object Detection
In Algorithms -- AutoML
Yukang Chen · Tong Yang · Xiangyu Zhang · GAOFENG MENG · Xinyu Xiao · Jian Sun
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #4
Discovering Neural Wirings
In Algorithms -- AutoML
Mitchell Wortsman · Ali Farhadi · Mohammad Rastegari
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #5
Fast AutoAugment
In Algorithms -- AutoML
Sungbin Lim · Ildoo Kim · Taesup Kim · Chiheon Kim · Sungwoong Kim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #6
Meta-Surrogate Benchmarking for Hyperparameter Optimization
In Algorithms -- AutoML
Aaron Klein · Zhenwen Dai · Frank Hutter · Neil Lawrence · Javier González
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #7
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
In Algorithms -- AutoML
Yong Guo · Yin Zheng · Mingkui Tan · Qi Chen · Jian Chen · Peilin Zhao · Junzhou Huang
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #8
Network Pruning via Transformable Architecture Search
In Algorithms -- AutoML
Xuanyi Dong · Yi Yang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #9
Scalable Global Optimization via Local Bayesian Optimization
In Algorithms -- AutoML
David Eriksson · Michael Pearce · Jacob Gardner · Ryan Turner · Matthias Poloczek
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #10
XNAS: Neural Architecture Search with Expert Advice
In Algorithms -- AutoML
Niv Nayman · Asaf Noy · Tal Ridnik · Itamar Friedman · Rong Jin · Lihi Zelnik
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #11
Bayesian Optimization under Heavy-tailed Payoffs
In Algorithms -- Bandit Algorithms
Sayak Ray Chowdhury · Aditya Gopalan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #12
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
In Algorithms -- Bandit Algorithms
Julian Zimmert · Tor Lattimore
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #13
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
In Algorithms -- Bandit Algorithms
Yogev Bar-On · Yishay Mansour
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #14
Learning Multiple Markov Chains via Adaptive Allocation
In Algorithms -- Bandit Algorithms
Mohammad Sadegh Talebi · Odalric-Ambrym Maillard
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #15
Linear Stochastic Bandits Under Safety Constraints
In Algorithms -- Bandit Algorithms
Sanae Amani · Mahnoosh Alizadeh · Christos Thrampoulidis
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #16
Personalizing Many Decisions with High-Dimensional Covariates
In Algorithms -- Bandit Algorithms
Nima Hamidi · Mohsen Bayati · Kapil Gupta
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #17
Non-Asymptotic Pure Exploration by Solving Games
In Algorithms -- Bandit Algorithms
Rémy Degenne · Wouter Koolen · Pierre Ménard
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #18
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
In Algorithms -- Bandit Algorithms
Ilai Bistritz · Zhengyuan Zhou · Xi Chen · Nicholas Bambos · Jose Blanchet
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #19
Optimal Best Markovian Arm Identification with Fixed Confidence
In Algorithms -- Bandit Algorithms
Vrettos Moulos
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #20
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
In Algorithms -- Bandit Algorithms
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #21
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
In Algorithms -- Bandit Algorithms
Young H Jung · Ambuj Tewari
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #22
Thresholding Bandit with Optimal Aggregate Regret
In Algorithms -- Bandit Algorithms
Chao Tao · Saúl Blanco · Jian Peng · Yuan Zhou
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #23
Weighted Linear Bandits for Non-Stationary Environments
In Algorithms -- Bandit Algorithms
Yoan Russac · Claire Vernade · Olivier Cappé
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #24
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
In Algorithms -- Large Scale Learning
Sulaiman Alghunaim · Kun Yuan · Ali H Sayed
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #25
Asymptotics for Sketching in Least Squares Regression
In Algorithms -- Large Scale Learning
Edgar Dobriban · Sifan Liu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #26
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
In Algorithms -- Large Scale Learning
Shashank Rajput · Hongyi Wang · Zachary Charles · Dimitris Papailiopoulos
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #27
Large-scale optimal transport map estimation using projection pursuit
In Algorithms -- Large Scale Learning
Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #28
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
In Algorithms -- Large Scale Learning
Lin Chen · Hossein Esfandiari · Gang Fu · Vahab Mirrokni
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #29
Massively scalable Sinkhorn distances via the Nyström method
In Algorithms -- Large Scale Learning
Jason Altschuler · Francis Bach · Alessandro Rudi · Jonathan Niles-Weed
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #30
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
In Algorithms -- Large Scale Learning
Belhal Karimi · Hoi-To Wai · Eric Moulines · Marc Lavielle
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #31
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
In Algorithms -- Large Scale Learning
zengfeng Huang · Ziyue Huang · Yilei WANG · Ke Yi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #32
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
In Algorithms -- Large Scale Learning
Debraj Basu · Deepesh Data · Can Karakus · Suhas Diggavi
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #33
Random Projections with Asymmetric Quantization
In Algorithms -- Large Scale Learning
Xiaoyun Li · Ping Li
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #34
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
In Algorithms -- Large Scale Learning
Ping Li · Xiaoyun Li · Cun-Hui Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #35
Robust and Communication-Efficient Collaborative Learning
In Algorithms -- Large Scale Learning
Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #36
Sampled Softmax with Random Fourier Features
In Algorithms -- Large Scale Learning
Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #37
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
In Algorithms -- Large Scale Learning
Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #38
Sliced Gromov-Wasserstein
In Algorithms -- Large Scale Learning
Titouan Vayer · Rémi Flamary · Nicolas Courty · Romain Tavenard · Laetitia Chapel
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #39
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
In Algorithms -- Large Scale Learning
Nikolas Ioannou · Celestine Mendler-Dünner · Thomas Parnell
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #40
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
In Algorithms -- Large Scale Learning
Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #41
Adaptive Gradient-Based Meta-Learning Methods
In Algorithms -- Meta-Learning
Misha Khodak · Maria-Florina Balcan · Ameet Talwalkar
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #42
Guided Meta-Policy Search
In Algorithms -- Meta-Learning
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #43
Learning to Propagate for Graph Meta-Learning
In Algorithms -- Meta-Learning
LU LIU · Tianyi Zhou · Guodong Long · Jing Jiang · Chengqi Zhang
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #44
Meta Learning with Relational Information for Short Sequences
In Algorithms -- Meta-Learning
Yujia Xie · Haoming Jiang · Feng Liu · Tuo Zhao · Hongyuan Zha
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #45
Meta-Curvature
In Algorithms -- Meta-Learning
Eunbyung Park · Junier Oliva
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #46
Meta-Learning Representations for Continual Learning
In Algorithms -- Meta-Learning
Khurram Javed · Martha White
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #47
Meta-Learning with Implicit Gradients
In Algorithms -- Meta-Learning
Aravind Rajeswaran · Chelsea Finn · Sham Kakade · Sergey Levine
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #48
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
In Algorithms -- Meta-Learning
Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng
[ Paper] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #49
Self-Supervised Generalisation with Meta Auxiliary Learning
In Algorithms -- Meta-Learning
Shikun Liu · Andrew Davison · Edward Johns
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #50
Iterative Least Trimmed Squares for Mixed Linear Regression
In Algorithms -- Regression
Yanyao Shen · Sujay Sanghavi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #51
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
In Algorithms -- Regression
Maria Jahja · David Farrow · Roni Rosenfeld · Ryan Tibshirani
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #52
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
In Algorithms -- Regression
Jose Blanchet · Peter W Glynn · Jun Yan · Zhengqing Zhou
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #53
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
In Algorithms -- Regression
Huaian Diao · Rajesh Jayaram · Zhao Song · Wen Sun · David Woodruff
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #54
Deep Set Prediction Networks
In Algorithms -- Structured Prediction
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #55
Learning Positive Functions with Pseudo Mirror Descent
In Algorithms -- Structured Prediction
Yingxiang Yang · Haoxiang Wang · Negar Kiyavash · Niao He
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #56
Localized Structured Prediction
In Algorithms -- Structured Prediction
Carlo Ciliberto · Francis Bach · Alessandro Rudi
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #57
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
In Algorithms -- Structured Prediction
Vikas Garg · Tamar Pichkhadze
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #58
Retrosynthesis Prediction with Conditional Graph Logic Network
In Algorithms -- Structured Prediction
Hanjun Dai · Chengtao Li · Connor Coley · Bo Dai · Le Song
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #59
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
In Algorithms -- Unsupervised Learning
Tam Nguyen · Maximilian Dax · Chaithanya Kumar Mummadi · Nhung Ngo · Thi Hoai Phuong Nguyen · Zhongyu Lou · Thomas Brox
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #60
Emergence of Object Segmentation in Perturbed Generative Models
In Algorithms -- Unsupervised Learning
Adam Bielski · Paolo Favaro
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #61
On Adversarial Mixup Resynthesis
In Algorithms -- Unsupervised Learning
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #62
q-means: A quantum algorithm for unsupervised machine learning
In Algorithms -- Unsupervised Learning
Iordanis Kerenidis · Jonas Landman · Alessandro Luongo · Anupam Prakash
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #63
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
In Algorithms -- Unsupervised Learning
Hongteng Xu · Dixin Luo · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #64
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
In Algorithms -- Unsupervised Learning
Hugo Caselles-Dupré · Michael Garcia Ortiz · David Filliat
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #65
Deep Structured Prediction for Facial Landmark Detection
In Applications -- Body Pose, Face, and Gesture Analysis
Lisha Chen · Hui Su · Qiang Ji
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #66
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
In Applications -- Body Pose, Face, and Gesture Analysis
Chaoyou Fu · Xiang Wu · Yibo Hu · Huaibo Huang · Ran He
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #67
Face Reconstruction from Voice using Generative Adversarial Networks
In Applications -- Body Pose, Face, and Gesture Analysis
Yandong Wen · Bhiksha Raj · Rita Singh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #68
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
In Applications -- Body Pose, Face, and Gesture Analysis
Gedas Bertasius · Christoph Feichtenhofer · Du Tran · Jianbo Shi · Lorenzo Torresani
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #69
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
In Applications -- Body Pose, Face, and Gesture Analysis
Xuesong Niu · Hu Han · Shiguang Shan · Xilin Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #70
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
In Applications -- Body Pose, Face, and Gesture Analysis
Carl Doersch · Andrew Zisserman
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #71
Adaptive Density Estimation for Generative Models
In Deep Learning -- Generative Models
Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #72
Adversarial Fisher Vectors for Unsupervised Representation Learning
In Deep Learning -- Generative Models
Shuangfei Zhai · Walter Talbott · Carlos Guestrin · Joshua Susskind
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #73
Co-Generation with GANs using AIS based HMC
In Deep Learning -- Generative Models
Tiantian Fang · Alex Schwing
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #74
Compression with Flows via Local Bits-Back Coding
In Deep Learning -- Generative Models
Jonathan Ho · Evan Lohn · Pieter Abbeel
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #75
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder
In Deep Learning -- Generative Models
Guy Lorberbom · Andreea Gane · Tommi Jaakkola · Tamir Hazan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #76
Fast and Provable ADMM for Learning with Generative Priors
In Deep Learning -- Generative Models
Fabian Latorre · Armin eftekhari · Volkan Cevher
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #77
Generative Modeling by Estimating Gradients of the Data Distribution
In Deep Learning -- Generative Models
Yang Song · Stefano Ermon
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #78
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
In Deep Learning -- Generative Models
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #79
Implicit Generation and Modeling with Energy Based Models
In Deep Learning -- Generative Models
Yilun Du · Igor Mordatch
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #80
Invertible Convolutional Flow
In Deep Learning -- Generative Models
Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #81
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
In Deep Learning -- Generative Models
Yulia Rubanova · Tian Qi Chen · David Duvenaud
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #82
MaCow: Masked Convolutional Generative Flow
In Deep Learning -- Generative Models
Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard Hovy
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #83
Mining GOLD Samples for Conditional GANs
In Deep Learning -- Generative Models
Sangwoo Mo · Chiheon Kim · Sungwoong Kim · Minsu Cho · Jinwoo Shin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #84
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
In Deep Learning -- Generative Models
Erik Nijkamp · Mitch Hill · Song-Chun Zhu · Ying Nian Wu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #85
Residual Flows for Invertible Generative Modeling
In Deep Learning -- Generative Models
Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #86
Time-series Generative Adversarial Networks
In Deep Learning -- Generative Models
Jinsung Yoon · Daniel Jarrett · Mihaela van der Schaar
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #87
Twin Auxilary Classifiers GAN
In Deep Learning -- Generative Models
Mingming Gong · Yanwu Xu · Chunyuan Li · Kun Zhang · Kayhan Batmanghelich
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #88
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
In Deep Learning -- Optimization for Deep Networks
Florian Scheidegger · Luca Benini · Costas Bekas · A. Cristiano I. Malossi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #89
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
In Deep Learning -- Optimization for Deep Networks
Gauthier Gidel · Francis Bach · Simon Lacoste-Julien
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #90
In-Place Zero-Space Memory Protection for CNN
In Deep Learning -- Optimization for Deep Networks
Hui Guan · Lin Ning · Zhen Lin · Xipeng Shen · Huiyang Zhou · Seung-Hwan Lim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #91
Large Scale Structure of Neural Network Loss Landscapes
In Deep Learning -- Optimization for Deep Networks
Stanislav Fort · Stanislaw Jastrzebski
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #92
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
In Deep Learning -- Optimization for Deep Networks
Zeyuan Allen-Zhu · Yuanzhi Li · Yingyu Liang
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #93
Limitations of the empirical Fisher approximation for natural gradient descent
In Deep Learning -- Optimization for Deep Networks
Frederik Kunstner · Philipp Hennig · Lukas Balles
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #94
Maximum Mean Discrepancy Gradient Flow
In Deep Learning -- Optimization for Deep Networks
Michael Arbel · Anna Korba · Adil Salim · Arthur Gretton
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #95
On Lazy Training in Differentiable Programming
In Deep Learning -- Optimization for Deep Networks
Lénaïc Chizat · Edouard Oyallon · Francis Bach
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #96
Reducing the variance in online optimization by transporting past gradients
In Deep Learning -- Optimization for Deep Networks
Sébastien Arnold · Pierre-Antoine Manzagol · Reza Babanezhad Harikandeh · Ioannis Mitliagkas · Nicolas Le Roux
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #97
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
In Deep Learning -- Optimization for Deep Networks
Yuan Cao · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #98
Understanding and Improving Layer Normalization
In Deep Learning -- Optimization for Deep Networks
Jingjing Xu · Xu Sun · Zhiyuan Zhang · Guangxiang Zhao · Junyang Lin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #99
LCA: Loss Change Allocation for Neural Network Training
In Deep Learning -- Optimization for Deep Networks
Janice Lan · Rosanne Liu · Hattie Zhou · Jason Yosinski
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #100
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
In Optimization -- Convex Optimization
Hao Yu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #101
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
In Optimization -- Convex Optimization
Jiajin Li · SEN HUANG · Anthony Man-Cho So
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #102
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
In Optimization -- Convex Optimization
Bin Shi · Simon Du · Weijie Su · Michael Jordan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #103
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
In Optimization -- Convex Optimization
Hadrien Hendrikx · Francis Bach · Laurent Massoulié
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #104
An adaptive Mirror-Prox method for variational inequalities with singular operators
In Optimization -- Convex Optimization
Kimon Antonakopoulos · Veronica Belmega · Panayotis Mertikopoulos
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #105
Blended Matching Pursuit
In Optimization -- Convex Optimization
Cyrille Combettes · Sebastian Pokutta
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #106
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
In Optimization -- Convex Optimization
Jun Sun · Tianyi Chen · Georgios Giannakis · Zaiyue Yang
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #107
Complexity of Highly Parallel Non-Smooth Convex Optimization
In Optimization -- Convex Optimization
Sebastien Bubeck · Qijia Jiang · Yin-Tat Lee · Yuanzhi Li · Aaron Sidford
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #108
Efficient Symmetric Norm Regression via Linear Sketching
In Optimization -- Convex Optimization
Zhao Song · Ruosong Wang · Lin Yang · Hongyang Zhang · Peilin Zhong
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #109
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
In Optimization -- Convex Optimization
Tao Sun · Yuejiao Sun · Dongsheng Li · Qing Liao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #110
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
In Optimization -- Convex Optimization
DongDong Ge · Haoyue Wang · Zikai Xiong · Yinyu Ye
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #111
Necessary and Sufficient Geometries for Gradient Methods
In Optimization -- Convex Optimization
Daniel Levy · John Duchi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #112
On the Curved Geometry of Accelerated Optimization
In Optimization -- Convex Optimization
Aaron Defazio
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #113
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
In Optimization -- Convex Optimization
Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #114
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
In Optimization -- Convex Optimization
Ha Nguyen · Lam Nguyen · Marten van Dijk
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #115
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
In Optimization -- Convex Optimization
Clarice Poon · Jingwei Liang
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #116
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
In Optimization -- Non-Convex Optimization
Haowei He · Gao Huang · Yang Yuan
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #117
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
In Optimization -- Non-Convex Optimization
Mahesh Chandra Mukkamala · Peter Ochs
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #118
Efficiently escaping saddle points on manifolds
In Optimization -- Non-Convex Optimization
Christopher Criscitiello · Nicolas Boumal
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #119
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
In Optimization -- Non-Convex Optimization
Wei Qian · Yuqian Zhang · Yudong Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #120
Learning dynamic polynomial proofs
In Optimization -- Non-Convex Optimization
Alhussein Fawzi · Mateusz Malinowski · Hamza Fawzi · Omar Fawzi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #121
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
In Optimization -- Non-Convex Optimization
Yi Xu · Rong Jin · Tianbao Yang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #122
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data
In Optimization -- Non-Convex Optimization
Changxiao Cai · Gen Li · H. Vincent Poor · Yuxin Chen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #123
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
In Optimization -- Non-Convex Optimization
Sharan Vaswani · Aaron Mishkin · Issam Laradji · Mark Schmidt · Gauthier Gidel · Simon Lacoste-Julien
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #124
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
In Optimization -- Non-Convex Optimization
Zhe Wang · Kaiyi Ji · Yi Zhou · Yingbin Liang · Vahid Tarokh
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #125
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
In Optimization -- Non-Convex Optimization
Zhize Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #126
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
In Optimization -- Non-Convex Optimization
Shuang Li · Gongguo Tang · Michael B Wakin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #127
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
In Optimization -- Non-Convex Optimization
Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #128
Double Quantization for Communication-Efficient Distributed Optimization
In Optimization -- Stochastic Optimization
Yue Yu · Jiaxiang Wu · Longbo Huang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #129
Optimal Decision Tree with Noisy Outcomes
In Optimization -- Stochastic Optimization
Su Jia · viswanath nagarajan · Fatemeh Navidi · R Ravi
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #130
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
In Optimization -- Stochastic Optimization
Dominic Richards · Patrick Rebeschini
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #131
RSN: Randomized Subspace Newton
In Optimization -- Stochastic Optimization
Robert Gower · Dmitry Kovalev · Felix Lieder · Peter Richtarik
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #132
Towards closing the gap between the theory and practice of SVRG
In Optimization -- Stochastic Optimization
Othmane Sebbouh · Nidham Gazagnadou · Samy Jelassi · Francis Bach · Robert Gower
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #133
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
In Optimization -- Stochastic Optimization
Ali Kavis · Kfir Y. Levy · Francis Bach · Volkan Cevher
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #134
Identifying Causal Effects via Context-specific Independence Relations
In Probabilistic Methods -- Causal Inference
Santtu Tikka · Antti Hyttinen · Juha Karvanen
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #135
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
In Probabilistic Methods -- Causal Inference
Robert Ness · Kaushal Paneri · Olga Vitek
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #136
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
In Probabilistic Methods -- Causal Inference
Junzhe Zhang · Elias Bareinboim
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #137
Policy Evaluation with Latent Confounders via Optimal Balance
In Probabilistic Methods -- Causal Inference
Andrew Bennett · Nathan Kallus
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #138
Sample Efficient Active Learning of Causal Trees
In Probabilistic Methods -- Causal Inference
Kristjan Greenewald · Dmitriy Katz · Karthikeyan Shanmugam · Sara Magliacane · Murat Kocaoglu · Enric Boix-Adsera · Guy Bresler
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #139
Selecting causal brain features with a single conditional independence test per feature
In Probabilistic Methods -- Causal Inference
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #140
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
In Probabilistic Methods -- Causal Inference
Biwei Huang · Kun Zhang · Pengtao Xie · Mingming Gong · Eric Xing · Clark Glymour
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #141
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
In Probabilistic Methods -- Causal Inference
Amanda Gentzel · Dan Garant · David Jensen
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #142
Triad Constraints for Learning Causal Structure of Latent Variables
In Probabilistic Methods -- Causal Inference
Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #143
Using Embeddings to Correct for Unobserved Confounding in Networks
In Probabilistic Methods -- Causal Inference
Victor Veitch · Yixin Wang · David Blei
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #144
Robust Multi-agent Counterfactual Prediction
In Probabilistic Methods -- Distributed Inference
Alexander Peysakhovich · Christian Kroer · Adam Lerer
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #145
Statistical Model Aggregation via Parameter Matching
In Probabilistic Methods -- Distributed Inference
Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #146
Implicit Posterior Variational Inference for Deep Gaussian Processes
In Probabilistic Methods -- Gaussian Processes
Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #147
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
In Probabilistic Methods -- Gaussian Processes
Rui Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #148
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
In Probabilistic Methods -- Gaussian Processes
Siqi Liu · Milos Hauskrecht
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #149
Offline Contextual Bayesian Optimization
In Probabilistic Methods -- Gaussian Processes
Ian Char · Youngseog Chung · Willie Neiswanger · Kirthevasan Kandasamy · Oak Nelson · Mark Boyer · Egemen Kolemen · Jeff Schneider
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #150
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
In Probabilistic Methods -- Gaussian Processes
Creighton Heaukulani · Mark van der Wilk
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #151
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
In Probabilistic Methods -- Gaussian Processes
Yusuke Tanaka · Toshiyuki Tanaka · Tomoharu Iwata · Takeshi Kurashima · Maya Okawa · Yasunori Akagi · Hiroyuki Toda
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #152
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
In Probabilistic Methods -- Gaussian Processes
Armin Lederer · Jonas Umlauft · Sandra Hirche
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #153
Learning Hierarchical Priors in VAEs
In Probabilistic Methods -- Hierarchical Models
Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #154
Poisson-Randomized Gamma Dynamical Systems
In Probabilistic Methods -- Hierarchical Models
Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #155
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
In Probabilistic Methods -- MCMC
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #156
Online sampling from log-concave distributions
In Probabilistic Methods -- MCMC
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #157
Parameter elimination in particle Gibbs sampling
In Probabilistic Methods -- MCMC
Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #158
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
In Probabilistic Methods -- MCMC
Ruqi Zhang · Christopher De Sa
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #159
Pseudo-Extended Markov chain Monte Carlo
In Probabilistic Methods -- MCMC
Christopher Nemeth · Fredrik Lindsten · Maurizio Filippone · James Hensman
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #160
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
In Probabilistic Methods -- MCMC
Difan Zou · Pan Xu · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #161
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
In Probabilistic Methods -- MCMC
Adil Salim · Dmitry Kovalev · Peter Richtarik
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #162
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
In Probabilistic Methods -- MCMC
Xuechen (Chen) Li · Denny Wu · Lester Mackey · Murat Erdogdu
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #163
The Randomized Midpoint Method for Log-Concave Sampling
In Probabilistic Methods -- MCMC
Ruoqi Shen · Yin Tat Lee
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #164
Approximate Inference Turns Deep Networks into Gaussian Processes
In Probabilistic Methods -- Variational Inference
Mohammad Emtiyaz Khan · Alexander Immer · Ehsan Abedi · Maciej Korzepa
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #165
Copula-like Variational Inference
In Probabilistic Methods -- Variational Inference
Marcel Hirt · Petros Dellaportas · Alain Durmus
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #166
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
In Probabilistic Methods -- Variational Inference
Justin Domke · Daniel Sheldon
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #167
Importance Weighted Hierarchical Variational Inference
In Probabilistic Methods -- Variational Inference
Artem Sobolev · Dmitry Vetrov
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #168
Practical Deep Learning with Bayesian Principles
In Probabilistic Methods -- Variational Inference
Kazuki Osawa · Siddharth Swaroop · Mohammad Emtiyaz Khan · Anirudh Jain · Runa Eschenhagen · Richard Turner · Rio Yokota
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #169
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
In Probabilistic Methods -- Variational Inference
Dominik Linzner · Michael Schmidt · Heinz Koeppl
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #170
Universal Boosting Variational Inference
In Probabilistic Methods -- Variational Inference
Trevor Campbell · Xinglong Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #171
Variational Bayes under Model Misspecification
In Probabilistic Methods -- Variational Inference
Yixin Wang · David Blei
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #172
Variational Bayesian Decision-making for Continuous Utilities
In Probabilistic Methods -- Variational Inference
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #173
Variational Bayesian Optimal Experimental Design
In Probabilistic Methods -- Variational Inference
Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #174
Causal Confusion in Imitation Learning
In Reinforcement Learning and Planning -- Decision and Control
Pim de Haan · Dinesh Jayaraman · Sergey Levine
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #175
Hierarchical Decision Making by Generating and Following Natural Language Instructions
In Reinforcement Learning and Planning -- Decision and Control
Hengyuan Hu · Denis Yarats · Qucheng Gong · Yuandong Tian · Mike Lewis
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #176
Non-Cooperative Inverse Reinforcement Learning
In Reinforcement Learning and Planning -- Decision and Control
Xiangyuan Zhang · Kaiqing Zhang · Erik Miehling · Tamer Basar
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #177
Robust exploration in linear quadratic reinforcement learning
In Reinforcement Learning and Planning -- Decision and Control
Jack Umenberger · Mina Ferizbegovic · Thomas Schön · Håkan Hjalmarsson
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #178
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
In Reinforcement Learning and Planning -- Exploration
Andrea Zanette · Mykel J Kochenderfer · Emma Brunskill
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #179
Better Exploration with Optimistic Actor Critic
In Reinforcement Learning and Planning -- Exploration
Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #180
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
In Reinforcement Learning and Planning -- Exploration
Simon Du · Yuping Luo · Ruosong Wang · Hanrui Zhang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #181
Explicit Planning for Efficient Exploration in Reinforcement Learning
In Reinforcement Learning and Planning -- Exploration
Liangpeng Zhang · Ke Tang · Xin Yao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #182
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
In Reinforcement Learning and Planning -- Exploration
Jian QIAN · Ronan Fruit · Matteo Pirotta · Alessandro Lazaric
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #183
Information-Theoretic Confidence Bounds for Reinforcement Learning
In Reinforcement Learning and Planning -- Exploration
Xiuyuan Lu · Benjamin Van Roy
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #184
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
In Reinforcement Learning and Planning -- Exploration
Daniel Russo
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #185
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
In Reinforcement Learning and Planning -- Model-Based RL
Marek Petrik · Reazul Hasan Russel
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #186
Correlation Priors for Reinforcement Learning
In Reinforcement Learning and Planning -- Model-Based RL
Bastian Alt · Adrian Šošić · Heinz Koeppl
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #187
Explicit Explore-Exploit Algorithms in Continuous State Spaces
In Reinforcement Learning and Planning -- Model-Based RL
Mikael Henaff
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #188
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
In Reinforcement Learning and Planning -- Model-Based RL
Daniel Freeman · David Ha · Luke Metz
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #189
Mapping State Space using Landmarks for Universal Goal Reaching
In Reinforcement Learning and Planning -- Model-Based RL
Zhiao Huang · Fangchen Liu · Hao Su
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #190
Regularizing Trajectory Optimization with Denoising Autoencoders
In Reinforcement Learning and Planning -- Model-Based RL
Rinu Boney · Norman Di Palo · Mathias Berglund · Alexander Ilin · Juho Kannala · Antti Rasmus · Harri Valpola
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #191
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
In Reinforcement Learning and Planning -- Model-Based RL
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #192
When to Trust Your Model: Model-Based Policy Optimization
In Reinforcement Learning and Planning -- Model-Based RL
Michael Janner · Justin Fu · Marvin Zhang · Sergey Levine
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #193
When to use parametric models in reinforcement learning?
In Reinforcement Learning and Planning -- Model-Based RL
Hado van Hasselt · Matteo Hessel · John Aslanides
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #194
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
In Reinforcement Learning and Planning -- Multi-Agent RL
Nicolas Carion · Nicolas Usunier · Gabriel Synnaeve · Alessandro Lazaric
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #195
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
In Reinforcement Learning and Planning -- Multi-Agent RL
Sai Qian Zhang · Qi Zhang · Jieyu Lin
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #196
Learning Mean-Field Games
In Reinforcement Learning and Planning -- Multi-Agent RL
Xin Guo · Anran Hu · Renyuan Xu · Junzi Zhang
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #197
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
In Reinforcement Learning and Planning -- Multi-Agent RL
Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros
[ Paper] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #198
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
In Reinforcement Learning and Planning -- Multi-Agent RL
Yali Du · Lei Han · Meng Fang · Ji Liu · Tianhong Dai · Dacheng Tao
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #199
On the Utility of Learning about Humans for Human-AI Coordination
In Reinforcement Learning and Planning -- Multi-Agent RL
Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #200
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
In Reinforcement Learning and Planning -- Multi-Agent RL
Chao Qu · Shie Mannor · Huan Xu · Yuan Qi · Le Song · Junwu Xiong
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #201
Convergent Policy Optimization for Safe Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Ming Yu · Zhuoran Yang · Mladen Kolar · Zhaoran Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #202
Experience Replay for Continual Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #203
Exploration via Hindsight Goal Generation
In Reinforcement Learning and Planning -- Reinforcement Learning
Zhizhou Ren · Kefan Dong · Yuan Zhou · Qiang Liu · Jian Peng
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #204
Hindsight Credit Assignment
In Reinforcement Learning and Planning -- Reinforcement Learning
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #205
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
In Reinforcement Learning and Planning -- Reinforcement Learning
Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #206
Importance Resampling for Off-policy Prediction
In Reinforcement Learning and Planning -- Reinforcement Learning
Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #207
Learning Compositional Neural Programs with Recursive Tree Search and Planning
In Reinforcement Learning and Planning -- Reinforcement Learning
Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #208
Multi-View Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Minne Li · Lisheng Wu · Jun WANG · Haitham Bou Ammar
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #209
Real-Time Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Simon Ramstedt · Chris Pal
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #210
Reconciling λ-Returns with Experience Replay
In Reinforcement Learning and Planning -- Reinforcement Learning
Brett Daley · Christopher Amato
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #211
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
In Reinforcement Learning and Planning -- Reinforcement Learning
Zihan Zhang · Xiangyang Ji
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #212
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
In Reinforcement Learning and Planning -- Reinforcement Learning
Suyoung Lee · Sungik Choi · Sae-Young Chung
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #213
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
In Reinforcement Learning and Planning -- Reinforcement Learning
Andrey Kolobov · Yuval Peres · Cheng Lu · Eric Horvitz
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #214
Trust Region-Guided Proximal Policy Optimization
In Reinforcement Learning and Planning -- Reinforcement Learning
Yuhui Wang · Hao He · Xiaoyang Tan · Yaozhong Gan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #215
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #216
Certainty Equivalence is Efficient for Linear Quadratic Control
In Theory -- Control Theory
Horia Mania · Stephen Tu · Benjamin Recht
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #217
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
In Theory -- Learning Theory
Brian Axelrod · Ilias Diakonikolas · Alistair Stewart · Anastasios Sidiropoulos · Gregory Valiant
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #218
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
In Theory -- Learning Theory
Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #219
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
In Theory -- Learning Theory
Karl Krauth · Stephen Tu · Benjamin Recht
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #220
Hypothesis Set Stability and Generalization
In Theory -- Learning Theory
Dylan Foster · Spencer Greenberg · Satyen Kale · Haipeng Luo · Mehryar Mohri · Karthik Sridharan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #221
Minimizers of the Empirical Risk and Risk Monotonicity
In Theory -- Learning Theory
Marco Loog · Tom Viering · Alexander Mey
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #222
Multiclass Learning from Contradictions
In Theory -- Learning Theory
Sauptik Dhar · Vladimir Cherkassky · Mohak Shah
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #223
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
In Theory -- Learning Theory
Abi Komanduru · Jean Honorio
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #224
On the Power and Limitations of Random Features for Understanding Neural Networks
In Theory -- Learning Theory
Gilad Yehudai · Ohad Shamir
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #225
Robustness to Adversarial Perturbations in Learning from Incomplete Data
In Theory -- Learning Theory
Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #226
Stability of Graph Scattering Transforms
In Theory -- Learning Theory
Fernando Gama · Alejandro Ribeiro · Joan Bruna
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #227
State Aggregation Learning from Markov Transition Data
In Theory -- Learning Theory
Yaqi Duan · Zheng Tracy Ke · Mengdi Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #228
Toward a Characterization of Loss Functions for Distribution Learning
In Theory -- Learning Theory
Nika Haghtalab · Cameron Musco · Bo Waggoner
[ Paper]  [ Poster] 
Invited Talk
Wed Dec 11 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Social Intelligence
Blaise Aguera y Arcas
Break
Wed Dec 11 09:20 AM -- 10:05 AM (PST) @ West and East
coffee Break
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
A neurally plausible model learns successor representations in partially observable environments
In Track 2 Session 3
Eszter Vértes · Maneesh Sahani
[ Paper]  [ Poster] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Faster width-dependent algorithm for mixed packing and covering LPs
In Track 4 Session 3
Digvijay Boob · Saurabh Sawlani · Di Wang
[ Paper]  [ Poster] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Fast and Accurate Least-Mean-Squares Solvers
In Track 3 Session 3
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
[ Paper]  [ Poster]  [ Slides] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
In Track 1 Session 3
Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
In Track 2 Session 3
Ofir Nachum · Yinlam Chow · Bo Dai · Lihong Li
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
In Track 4 Session 3
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Calibration tests in multi-class classification: A unifying framework
In Track 3 Session 3
David Widmann · Fredrik Lindsten · Dave Zachariah
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
A Condition Number for Joint Optimization of Cycle-Consistent Networks
In Track 1 Session 3
Leonidas Guibas · Qixing Huang · Zhenxiao Liang
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
VIREL: A Variational Inference Framework for Reinforcement Learning
In Track 2 Session 3
Mattie Fellows · Anuj Mahajan · Tim G. J. Rudner · Shimon Whiteson
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
In Track 4 Session 3
Frederic Koehler
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
Verified Uncertainty Calibration
In Track 3 Session 3
Ananya Kumar · Percy Liang · Tengyu Ma
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
In Track 1 Session 3
Thang Vu · Hyunjun Jang · Trung X. Pham · Chang Yoo
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Unsupervised Curricula for Visual Meta-Reinforcement Learning
In Track 2 Session 3
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Smoothing Structured Decomposable Circuits
In Track 4 Session 3
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
Fast structure learning with modular regularization
In Track 3 Session 3
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
In Track 1 Session 3
Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Policy Continuation with Hindsight Inverse Dynamics
In Track 2 Session 3
Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Counting the Optimal Solutions in Graphical Models
In Track 4 Session 3
Radu Marinescu · Rina Dechter
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
In Track 3 Session 3
Yujia Jin · Aaron Sidford
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
DM2C: Deep Mixed-Modal Clustering
In Track 1 Session 3
Yangbangyan Jiang · Qianqian Xu · Zhiyong Yang · Xiaochun Cao · Qingming Huang
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Learning Reward Machines for Partially Observable Reinforcement Learning
In Track 2 Session 3
Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Combining Generative and Discriminative Models for Hybrid Inference
In Track 4 Session 3
Victor Garcia Satorras · Max Welling · Zeynep Akata
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
PIDForest: Anomaly Detection via Partial Identification
In Track 3 Session 3
Parikshit Gopalan · Vatsal Sharan · Udi Wieder
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
In Track 1 Session 3
Bo Yang · Jianan Wang · Ronald Clark · Qingyong Hu · Sen Wang · Andrew Markham · Niki Trigoni
[ Paper]  [ Slides]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
A Meta-Analysis of Overfitting in Machine Learning
In Algorithms -- Adaptive Data Analysis
Becca Roelofs · Vaishaal Shankar · Benjamin Recht · Sara Fridovich-Keil · Moritz Hardt · John Miller · Ludwig Schmidt
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
A Necessary and Sufficient Stability Notion for Adaptive Generalization
In Algorithms -- Adaptive Data Analysis
Moshe Shenfeld · Katrina Ligett
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
Model Similarity Mitigates Test Set Overuse
In Algorithms -- Adaptive Data Analysis
Horia Mania · John Miller · Ludwig Schmidt · Moritz Hardt · Benjamin Recht
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Optimal Sampling and Clustering in the Stochastic Block Model
In Algorithms -- Adaptive Data Analysis
Se-Young Yun · Alexandre Proutiere
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
A Debiased MDI Feature Importance Measure for Random Forests
In Algorithms -- Boosting and Ensemble Methods
Xiao Li · Yu Wang · Sumanta Basu · Karl Kumbier · Bin Yu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
A Refined Margin Distribution Analysis for Forest Representation Learning
In Algorithms -- Boosting and Ensemble Methods
Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Faster Boosting with Smaller Memory
In Algorithms -- Boosting and Ensemble Methods
Julaiti Alafate · Yoav S Freund
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Margin-Based Generalization Lower Bounds for Boosted Classifiers
In Algorithms -- Boosting and Ensemble Methods
Allan Grønlund · Lior Kamma · Kasper Green Larsen · Alexander Mathiasen · Jelani Nelson
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
Minimal Variance Sampling in Stochastic Gradient Boosting
In Algorithms -- Boosting and Ensemble Methods
Bulat Ibragimov · Gleb Gusev
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #10
MonoForest framework for tree ensemble analysis
In Algorithms -- Boosting and Ensemble Methods
Igor Kuralenok · Vasilii Ershov · Igor Labutin
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #11
Regularized Gradient Boosting
In Algorithms -- Boosting and Ensemble Methods
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #12
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
In Algorithms -- Boosting and Ensemble Methods
Peilin Zhong · Yuchen Mo · Chang Xiao · Pengyu Chen · Changxi Zheng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
In Algorithms -- Model Selection and Structure Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
In Algorithms -- Model Selection and Structure Learning
XIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Constraint-based Causal Structure Learning with Consistent Separating Sets
In Algorithms -- Model Selection and Structure Learning
Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
Fast structure learning with modular regularization
In Algorithms -- Model Selection and Structure Learning
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
In Algorithms -- Model Selection and Structure Learning
Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
In Algorithms -- Model Selection and Structure Learning
Zihan Li · Matthias Fresacher · Jonathan Scarlett
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
In Algorithms -- Model Selection and Structure Learning
Chris Russell · Matteo Toso · Neill Campbell
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #20
Fast and Accurate Least-Mean-Squares Solvers
In Algorithms -- Regression
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #21
Partitioning Structure Learning for Segmented Linear Regression Trees
In Algorithms -- Regression
Xiangyu Zheng · Song Xi Chen
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #22
Sparse High-Dimensional Isotonic Regression
In Algorithms -- Regression
David Gamarnik · Julia Gaudio
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #23
Total Least Squares Regression in Input Sparsity Time
In Algorithms -- Regression
Huaian Diao · Zhao Song · David Woodruff · Xin Yang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #24
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
In Algorithms -- Semi-Supervised Learning
Xuanqing Liu · Si Si · Jerry Zhu · Yang Li · Cho-Jui Hsieh
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #25
Are Anchor Points Really Indispensable in Label-Noise Learning?
In Algorithms -- Semi-Supervised Learning
Xiaobo Xia · Tongliang Liu · Nannan Wang · Bo Han · Chen Gong · Gang Niu · Masashi Sugiyama
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #26
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
In Algorithms -- Semi-Supervised Learning
Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #27
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
In Algorithms -- Semi-Supervised Learning
Pedro Mercado · Francesco Tudisco · Matthias Hein
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #28
Graph Agreement Models for Semi-Supervised Learning
In Algorithms -- Semi-Supervised Learning
Otilia Stretcu · Krishnamurthy Viswanathan · Dana Movshovitz-Attias · Emmanouil Platanios · Sujith Ravi · Andrew Tomkins
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #29
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response
In Algorithms -- Semi-Supervised Learning
Fan Zhou · Tengfei Li · Haibo Zhou · Hongtu Zhu · Ye Jieping
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #30
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs
In Algorithms -- Semi-Supervised Learning
Naganand Yadati · Madhav Nimishakavi · Prateek Yadav · Vikram Nitin · Anand Louis · Partha Talukdar
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #31
A Condition Number for Joint Optimization of Cycle-Consistent Networks
In Algorithms -- Semi-Supervised Learning
Leonidas Guibas · Qixing Huang · Zhenxiao Liang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #32
MixMatch: A Holistic Approach to Semi-Supervised Learning
In Algorithms -- Semi-Supervised Learning
David Berthelot · Nicholas Carlini · Ian Goodfellow · Nicolas Papernot · Avital Oliver · Colin A Raffel
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #33
Uncoupled Regression from Pairwise Comparison Data
In Algorithms -- Semi-Supervised Learning
Ritsugen Jo · Junya Honda · Gang Niu · Masashi Sugiyama
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #34
Unlabeled Data Improves Adversarial Robustness
In Algorithms -- Semi-Supervised Learning
Yair Carmon · Aditi Raghunathan · Ludwig Schmidt · John Duchi · Percy Liang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Accurate Layerwise Interpretable Competence Estimation
In Algorithms -- Uncertainty Estimation
Vickram Rajendran · William LeVine
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
In Algorithms -- Uncertainty Estimation
Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
Addressing Failure Prediction by Learning Model Confidence
In Algorithms -- Uncertainty Estimation
Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
In Algorithms -- Uncertainty Estimation
Meelis Kull · Miquel Perello Nieto · Markus Kängsepp · Telmo Silva Filho · Hao Song · Peter Flach
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Calibration tests in multi-class classification: A unifying framework
In Algorithms -- Uncertainty Estimation
David Widmann · Fredrik Lindsten · Dave Zachariah
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
In Algorithms -- Uncertainty Estimation
Jasper Snoek · Yaniv Ovadia · Emily Fertig · Balaji Lakshminarayanan · Sebastian Nowozin · D. Sculley · Joshua Dillon · Jie Ren · Zachary Nado
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Computing Full Conformal Prediction Set with Approximate Homotopy
In Algorithms -- Uncertainty Estimation
Eugene Ndiaye · Ichiro Takeuchi
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Conformalized Quantile Regression
In Algorithms -- Uncertainty Estimation
Yaniv Romano · Evan Patterson · Emmanuel Candes
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Deep Gamblers: Learning to Abstain with Portfolio Theory
In Algorithms -- Uncertainty Estimation
Liu Ziyin · Zhikang Wang · Paul Pu Liang · Russ Salakhutdinov · Louis-Philippe Morency · Masahito Ueda
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Likelihood Ratios for Out-of-Distribution Detection
In Algorithms -- Uncertainty Estimation
Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
In Algorithms -- Uncertainty Estimation
Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
In Algorithms -- Uncertainty Estimation
Axel Brando · Jose A Rodriguez · Jordi Vitria · Alberto Rubio Muñoz
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
In Algorithms -- Uncertainty Estimation
Sunil Thulasidasan · Gopinath Chennupati · Jeffrey A Bilmes · Tanmoy Bhattacharya · Sarah Michalak
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
In Algorithms -- Uncertainty Estimation
Muhammad Osama · Dave Zachariah · Peter Stoica
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
Reliable training and estimation of variance networks
In Algorithms -- Uncertainty Estimation
Nicki Skafte · Martin Jørgensen · Søren Hauberg
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
In Algorithms -- Uncertainty Estimation
Andrey Malinin · Mark Gales
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Single-Model Uncertainties for Deep Learning
In Algorithms -- Uncertainty Estimation
Nataša Tagasovska · David Lopez-Paz
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
The Functional Neural Process
In Algorithms -- Uncertainty Estimation
Christos Louizos · Xiahan Shi · Klamer Schutte · Max Welling
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Uncertainty on Asynchronous Time Event Prediction
In Algorithms -- Uncertainty Estimation
Marin Biloš · Bertrand Charpentier · Stephan Günnemann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Verified Uncertainty Calibration
In Algorithms -- Uncertainty Estimation
Ananya Kumar · Percy Liang · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #55
Coresets for Archetypal Analysis
In Algorithms -- Unsupervised Learning
Sebastian Mair · Ulf Brefeld
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #56
Multivariate Triangular Quantile Maps for Novelty Detection
In Algorithms -- Unsupervised Learning
Jingjing Wang · Sun Sun · Yaoliang Yu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #57
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
In Algorithms -- Unsupervised Learning
Siqi Wang · Yijie Zeng · Xinwang Liu · En Zhu · Jianping Yin · Chuanfu Xu · Marius Kloft
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #58
High-Quality Self-Supervised Deep Image Denoising
In Algorithms -- Unsupervised Learning
Samuli Laine · Tero Karras · Jaakko Lehtinen · Timo Aila
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #59
Object landmark discovery through unsupervised adaptation
In Algorithms -- Unsupervised Learning
Enrique Sanchez · Georgios Tzimiropoulos
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #60
PIDForest: Anomaly Detection via Partial Identification
In Algorithms -- Unsupervised Learning
Parikshit Gopalan · Vatsal Sharan · Udi Wieder
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #61
Robust Principal Component Analysis with Adaptive Neighbors
In Algorithms -- Unsupervised Learning
Rui Zhang · Hanghang Tong
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
In Applications -- Computer Vision
Qiangeng Xu · Weiyue Wang · Duygu Ceylan · Radomir Mech · Ulrich Neumann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
DM2C: Deep Mixed-Modal Clustering
In Applications -- Computer Vision
Yangbangyan Jiang · Qianqian Xu · Zhiyong Yang · Xiaochun Cao · Qingming Huang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
ETNet: Error Transition Network for Arbitrary Style Transfer
In Applications -- Computer Vision
Chunjin Song · Zhijie Wu · Yang Zhou · Minglun Gong · Hui Huang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Joint-task Self-supervised Learning for Temporal Correspondence
In Applications -- Computer Vision
Xueting Li · Sifei Liu · Shalini De Mello · Xiaolong Wang · Jan Kautz · Ming-Hsuan Yang
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Learning Conditional Deformable Templates with Convolutional Networks
In Applications -- Computer Vision
Adrian Dalca · Marianne Rakic · John Guttag · Mert Sabuncu
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
In Applications -- Computer Vision
Bo Yang · Jianan Wang · Ronald Clark · Qingyong Hu · Sen Wang · Andrew Markham · Niki Trigoni
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
In Applications -- Computer Vision
Xihui Liu · Guojun Yin · Jing Shao · Xiaogang Wang · Hongsheng Li
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
In Applications -- Computer Vision
Yichao Zhou · Haozhi Qi · Jingwei Huang · Yi Ma
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Saccader: Improving Accuracy of Hard Attention Models for Vision
In Applications -- Computer Vision
Gamaleldin Elsayed · Simon Kornblith · Quoc V Le
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
In Applications -- Computer Vision
Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #72
Stand-Alone Self-Attention in Vision Models
In Applications -- Computer Vision
Niki Parmar · Prajit Ramachandran · Ashish Vaswani · Irwan Bello · Anselm Levskaya · Jonathon Shlens
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #73
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
In Applications -- Computer Vision
Jiawang Bian · Zhichao Li · Naiyan Wang · Huangying Zhan · Chunhua Shen · Ming-Ming Cheng · Ian Reid
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #74
Volumetric Correspondence Networks for Optical Flow
In Applications -- Computer Vision
Gengshan Yang · Deva Ramanan
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #75
Zero-Shot Semantic Segmentation
In Applications -- Computer Vision
Maxime Bucher · Tuan-Hung VU · Matthieu Cord · Patrick Pérez
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #76
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
In Applications -- Image Segmentation
Qiming ZHANG · Jing Zhang · Wei Liu · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #77
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations
In Applications -- Image Segmentation
Xu Wang · Jingming He · Lin Ma
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #78
Learnable Tree Filter for Structure-preserving Feature Transform
In Applications -- Image Segmentation
Lin Song · Yanwei Li · Zeming Li · Gang Yu · Hongbin Sun · Jian Sun · Nanning Zheng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #79
Memory-oriented Decoder for Light Field Salient Object Detection
In Applications -- Image Segmentation
Miao Zhang · Jingjing Li · Wei Ji · Yongri Piao · Huchuan Lu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #80
Multi-source Domain Adaptation for Semantic Segmentation
In Applications -- Image Segmentation
Sicheng Zhao · Bo Li · Xiangyu Yue · Yang Gu · Pengfei Xu · Runbo Hu · Hua Chai · Kurt Keutzer
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #81
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
In Applications -- Image Segmentation
Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #82
Region Mutual Information Loss for Semantic Segmentation
In Applications -- Image Segmentation
Shuai Zhao · Yang Wang · Zheng Yang · Deng Cai
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #83
Topology-Preserving Deep Image Segmentation
In Applications -- Image Segmentation
Xiaoling Hu · Fuxin Li · Dimitris Samaras · Chao Chen
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #84
Unsupervised Object Segmentation by Redrawing
In Applications -- Image Segmentation
Mickaël Chen · Thierry Artières · Ludovic Denoyer
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
In Applications -- Object Detection
Siyuan Huang · Yixin Chen · Tao Yuan · Siyuan Qi · Yixin Zhu · Song-Chun Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
In Applications -- Object Detection
Thang Vu · Hyunjun Jang · Trung X. Pham · Chang Yoo
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Consistency-based Semi-supervised Learning for Object detection
In Applications -- Object Detection
Jisoo Jeong · Seungeui Lee · Jeesoo Kim · Nojun Kwak
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
FreeAnchor: Learning to Match Anchors for Visual Object Detection
In Applications -- Object Detection
Xiaosong Zhang · Fang Wan · Chang Liu · Rongrong Ji · Qixiang Ye
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
One-Shot Object Detection with Co-Attention and Co-Excitation
In Applications -- Object Detection
Ting-I Hsieh · Yi-Chen Lo · Hwann-Tzong Chen · Tyng-Luh Liu
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations
In Applications -- Robotics
Andrew Spielberg · Allan Zhao · Yuanming Hu · Tao Du · Wojciech Matusik · Daniela Rus
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Multiple Futures Prediction
In Applications -- Robotics
Yichuan Charlie Tang · Russ Salakhutdinov
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
Neural Lyapunov Control
In Applications -- Robotics
Ya-Chien Chang · Nima Roohi · Sicun Gao
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
On Single Source Robustness in Deep Fusion Models
In Applications -- Robotics
Taewan Kim · Joydeep Ghosh
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
In Applications -- Robotics
Pratyusha Sharma · Deepak Pathak · Abhinav Gupta
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
Adaptively Aligned Image Captioning via Adaptive Attention Time
In Applications -- Visual Scene Analysis and Interpretation
Lun Huang · Wenmin Wang · Yaxian Xia · Jie Chen
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
In Applications -- Visual Scene Analysis and Interpretation
Srinath Sridhar · Davis Rempe · Julien Valentin · Bouaziz Sofien · Leonidas Guibas
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #97
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
In Applications -- Visual Scene Analysis and Interpretation
Jingxiang Lin · Unnat Jain · Alex Schwing
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #98
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
In Applications -- Visual Scene Analysis and Interpretation
Cheng-Chun Hsu · Kuang-Jui Hsu · Chung-Chi Tsai · Yen-Yu Lin · Yung-Yu Chuang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #99
Combining Generative and Discriminative Models for Hybrid Inference
In Deep Learning -- Efficient Inference Methods
Victor Garcia Satorras · Zeynep Akata · Max Welling
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #100
Deep Model Transferability from Attribution Maps
In Deep Learning -- Efficient Inference Methods
Jie Song · Yixin Chen · Xinchao Wang · Chengchao Shen · Mingli Song
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #101
Focused Quantization for Sparse CNNs
In Deep Learning -- Efficient Inference Methods
Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #102
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
In Deep Learning -- Efficient Inference Methods
Xiaohan Ding · guiguang ding · Xiangxin Zhou · Yuchen Guo · Jungong Han · Ji Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #103
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
In Deep Learning -- Efficient Inference Methods
Koen Helwegen · James Widdicombe · Lukas Geiger · Zechun Liu · Kwang-Ting Cheng · Roeland Nusselder
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #104
Normalization Helps Training of Quantized LSTM
In Deep Learning -- Efficient Inference Methods
Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #105
Post training 4-bit quantization of convolutional networks for rapid-deployment
In Deep Learning -- Efficient Inference Methods
Ron Banner · Yury Nahshan · Daniel Soudry
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #106
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
In Deep Learning -- Efficient Inference Methods
Linfeng Zhang · Zhanhong Tan · Jiebo Song · Jingwei Chen · Chenglong Bao · Kaisheng Ma
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #107
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
In Deep Learning -- Efficient Inference Methods
Don Dennis · Durmus Alp Emre Acar · Vikram Mandikal · Vinu Sankar Sadasivan · Venkatesh Saligrama · Harsha Vardhan Simhadri · Prateek Jain
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #108
Deep Generative Video Compression
In Deep Learning -- Generative Models
Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #109
A Model to Search for Synthesizable Molecules
In Deep Learning -- Generative Models
John Bradshaw · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #110
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
In Deep Learning -- Generative Models
Lars Maaløe · Marco Fraccaro · Valentin Liévin · Ole Winther
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #111
Classification Accuracy Score for Conditional Generative Models
In Deep Learning -- Generative Models
Suman Ravuri · Oriol Vinyals
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #112
Discrete Flows: Invertible Generative Models of Discrete Data
In Deep Learning -- Generative Models
Dustin Tran · Keyon Vafa · Kumar Agrawal · Laurent Dinh · Ben Poole
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #113
First Order Motion Model for Image Animation
In Deep Learning -- Generative Models
Aliaksandr Siarohin · Stéphane Lathuilière · Sergey Tulyakov · Elisa Ricci · Nicu Sebe
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #114
G2SAT: Learning to Generate SAT Formulas
In Deep Learning -- Generative Models
Jiaxuan You · Haoze Wu · Clark Barrett · Raghuram Ramanujan · Jure Leskovec
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #115
Multi-objects Generation with Amortized Structural Regularization
In Deep Learning -- Generative Models
Kun Xu · Chongxuan LI · Jun Zhu · Bo Zhang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #116
Neural Multisensory Scene Inference
In Deep Learning -- Generative Models
Jae Hyun Lim · Pedro O. Pinheiro · Negar Rostamzadeh · Chris Pal · Sungjin Ahn
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #117
Neural Spline Flows
In Deep Learning -- Generative Models
Conor Durkan · Artur Bekasov · Iain Murray · George Papamakarios
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #118
Progressive Augmentation of GANs
In Deep Learning -- Generative Models
Dan Zhang · Anna Khoreva
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #119
Quantum Wasserstein Generative Adversarial Networks
In Deep Learning -- Generative Models
Shouvanik Chakrabarti · Huang Yiming · Tongyang Li · Soheil Feizi · Xiaodi Wu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #120
Energy-Inspired Models: Learning with Sampler-Induced Distributions
In Deep Learning -- Generative Models
Dieterich Lawson · George Tucker · Bo Dai · Rajesh Ranganath
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #121
Sequence Modeling with Unconstrained Generation Order
In Deep Learning -- Generative Models
Dmitrii Emelianenko · Elena Voita · Pavel Serdyukov
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #122
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
In Deep Learning -- Generative Models
Niklas Gebauer · Michael Gastegger · Kristof Schütt
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #123
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
In Deep Learning -- Generative Models
James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #124
Unsupervised Learning of Object Keypoints for Perception and Control
In Deep Learning -- Generative Models
Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #125
Combinatorial Inference against Label Noise
In Deep Learning -- Supervised Deep Networks
Paul Hongsuck Seo · Geeho Kim · Bohyung Han
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #126
Deep Signature Transforms
In Deep Learning -- Supervised Deep Networks
Patrick Kidger · Patric Bonnier · Imanol Perez Arribas · Cristopher Salvi · Terry Lyons
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #127
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
In Deep Learning -- Supervised Deep Networks
Shreyas Saxena · Oncel Tuzel · Dennis DeCoste
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #128
Implicit Semantic Data Augmentation for Deep Networks
In Deep Learning -- Supervised Deep Networks
Yulin Wang · Xuran Pan · Shiji Song · Hong Zhang · Gao Huang · Cheng Wu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #129
Is Deeper Better only when Shallow is Good?
In Deep Learning -- Supervised Deep Networks
Eran Malach · Shai Shalev-Shwartz
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #130
No-Press Diplomacy: Modeling Multi-Agent Gameplay
In Deep Learning -- Supervised Deep Networks
Philip Paquette · Yuchen Lu · SETON STEVEN BOCCO · Max Smith · Satya O.-G. · Jonathan K. Kummerfeld · Joelle Pineau · Satinder Singh · Aaron Courville
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #131
Riemannian batch normalization for SPD neural networks
In Deep Learning -- Supervised Deep Networks
Daniel Brooks · Olivier Schwander · Frederic Barbaresco · Jean-Yves Schneider · Matthieu Cord
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #132
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
In Neuroscience and Cognitive Science -- Brain Imaging
Tao Tu · John Paisley · Stefan Haufe · Paul Sajda
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #133
Manifold-regression to predict from MEG/EEG brain signals without source modeling
In Neuroscience and Cognitive Science -- Brain Imaging
David Sabbagh · Pierre Ablin · Gael Varoquaux · Alexandre Gramfort · Denis A. Engemann
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #134
Inducing brain-relevant bias in natural language processing models
In Neuroscience and Cognitive Science -- Brain Mapping
Dan Schwartz · Mariya Toneva · Leila Wehbe
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #135
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces
In Neuroscience and Cognitive Science -- Brain--Computer Interfaces and Neural Prostheses
Benyamin Allahgholizadeh Haghi · Spencer Kellis · Sahil Shah · Maitreyi Ashok · Luke Bashford · Daniel Kramer · Brian Lee · Charles Liu · Richard Andersen · Azita Emami
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #136
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
In Neuroscience and Cognitive Science -- Brain--Computer Interfaces and Neural Prostheses
Yu Qi · Bin Liu · Yueming Wang · Gang Pan
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #137
Efficient characterization of electrically evoked responses for neural interfaces
In Neuroscience and Cognitive Science -- Brain--Computer Interfaces and Neural Prostheses
Nishal Shah · Sasidhar Madugula · Pawel Hottowy · Alexander Sher · Alan Litke · Liam Paninski · E.J. Chichilnisky
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #138
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
In Neuroscience and Cognitive Science -- Brain--Computer Interfaces and Neural Prostheses
Mohammad Reza Keshtkaran · Chethan Pandarinath
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #139
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
In Neuroscience and Cognitive Science -- Connectomics
Farzane Aminmansour · Andrew Patterson · Lei Le · Yisu Peng · Daniel Mitchell · Franco Pestilli · Cesar F Caiafa · Russell Greiner · Martha White
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #140
Coordinated hippocampal-entorhinal replay as structural inference
In Neuroscience and Cognitive Science -- Human or Animal Learning
Talfan Evans · Neil Burgess
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #141
Disentangled behavioural representations
In Neuroscience and Cognitive Science -- Human or Animal Learning
Amir Dezfouli · Hassan Ashtiani · Omar Ghattas · Richard Nock · Peter Dayan · Cheng Soon Ong
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #142
Teaching Multiple Concepts to a Forgetful Learner
In Neuroscience and Cognitive Science -- Human or Animal Learning
Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #143
Anti-efficient encoding in emergent communication
In Neuroscience and Cognitive Science -- Language for Cognitive Science
Rahma Chaabouni · Eugene Kharitonov · Emmanuel Dupoux · Marco Baroni
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #144
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently
In Neuroscience and Cognitive Science -- Memory
Xiao Liu · Xiaolong Zou · Zilong Ji · Gengshuo Tian · Yuanyuan Mi · Tiejun Huang · K. Y. Michael Wong · Si Wu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #145
A coupled autoencoder approach for multi-modal analysis of cell types
In Neuroscience and Cognitive Science -- Neuroscience
Rohan Gala · Nathan Gouwens · Zizhen Yao · Agata Budzillo · Osnat Penn · Bosiljka Tasic · Gabe Murphy · Hongkui Zeng · Uygar Sümbül
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #146
A neurally plausible model learns successor representations in partially observable environments
In Neuroscience and Cognitive Science -- Neuroscience
Eszter Vértes · Maneesh Sahani
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #147
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
In Neuroscience and Cognitive Science -- Neuroscience
Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #148
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
In Neuroscience and Cognitive Science -- Neuroscience
Cole Hurwitz · Kai Xu · Akash Srivastava · Alessio Buccino · Matthias Hennig
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149
Weight Agnostic Neural Networks
In Neuroscience and Cognitive Science -- Neuroscience
Adam Gaier · David Ha
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #150
Metamers of neural networks reveal divergence from human perceptual systems
In Neuroscience and Cognitive Science -- Perception
Jenelle Feather · Alex Durango · Ray Gonzalez · Josh McDermott
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #151
Interval timing in deep reinforcement learning agents
In Neuroscience and Cognitive Science -- Problem Solving
Ben Deverett · Ryan Faulkner · Meire Fortunato · Gregory Wayne · Joel Leibo
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #152
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
In Neuroscience and Cognitive Science -- Visual Perception
Hidenori Tanaka · Aran Nayebi · Niru Maheswaranathan · Lane McIntosh · Stephen Baccus · Surya Ganguli
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #153
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
In Neuroscience and Cognitive Science -- Visual Perception
Roman Beliy · Guy Gaziv · Assaf Hoogi · Francesca Strappini · Tal Golan · Michal Irani
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #154
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity
In Neuroscience and Cognitive Science -- Visual Perception
Aria Wang · Michael Tarr · Leila Wehbe
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #155
Perceiving the arrow of time in autoregressive motion
In Neuroscience and Cognitive Science -- Visual Perception
Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #157
A Latent Variational Framework for Stochastic Optimization
In Optimization -- Stochastic Optimization
Philippe Casgrain
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #158
A Stochastic Composite Gradient Method with Incremental Variance Reduction
In Optimization -- Stochastic Optimization
Junyu Zhang · Lin Xiao
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #159
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
In Optimization -- Stochastic Optimization
Necdet Serhat Aybat · Alireza Fallah · Mert Gurbuzbalaban · Asuman Ozdaglar
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #160
On the convergence of single-call stochastic extra-gradient methods
In Optimization -- Stochastic Optimization
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #161
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
In Optimization -- Stochastic Optimization
Aaron Defazio · Leon Bottou
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #162
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
In Optimization -- Stochastic Optimization
Yujia Jin · Aaron Sidford
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #163
Understanding the Role of Momentum in Stochastic Gradient Methods
In Optimization -- Stochastic Optimization
Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #164
Adaptive Sequence Submodularity
In Optimization -- Submodular Optimization
Marko Mitrovic · Ehsan Kazemi · Moran Feldman · Andreas Krause · Amin Karbasi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #165
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
In Optimization -- Submodular Optimization
Senanayak Sesh Kumar Karri · Francis Bach · Thomas Pock
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #166
Fast Parallel Algorithms for Statistical Subset Selection Problems
In Optimization -- Submodular Optimization
Sharon Qian · Yaron Singer
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #167
Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time
In Optimization -- Submodular Optimization
Alan Kuhnle
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #168
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
In Optimization -- Submodular Optimization
Mingrui Zhang · Lin Chen · Hamed Hassani · Amin Karbasi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #169
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
In Optimization -- Submodular Optimization
Amin Karbasi · Hamed Hassani · Aryan Mokhtari · Zebang Shen
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #170
Submodular Function Minimization with Noisy Evaluation Oracle
In Optimization -- Submodular Optimization
Shinji Ito
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #171
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
In Probabilistic Methods -- Bayesian Nonparametrics
Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #172
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
In Probabilistic Methods -- Bayesian Nonparametrics
Alix LHERITIER · Frederic Cazals
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #173
Random Tessellation Forests
In Probabilistic Methods -- Bayesian Nonparametrics
Shufei Ge · Shijia Wang · Yee Whye Teh · Liangliang Wang · Lloyd Elliott
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #174
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
In Probabilistic Methods -- Belief Propagation
Frederic Koehler
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #175
Hyper-Graph-Network Decoders for Block Codes
In Probabilistic Methods -- Belief Propagation
Eliya Nachmani · Lior Wolf
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #176
An Algorithm to Learn Polytree Networks with Hidden Nodes
In Probabilistic Methods -- Graphical Models
Firoozeh Sepehr · Donatello Materassi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #177
Approximating the Permanent by Sampling from Adaptive Partitions
In Probabilistic Methods -- Graphical Models
Jonathan Kuck · Tri Dao · Hamid Rezatofighi · Ashish Sabharwal · Stefano Ermon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #178
Bayesian Joint Estimation of Multiple Graphical Models
In Probabilistic Methods -- Graphical Models
Lingrui Gan · Xinming Yang · Naveen Narisetty · Feng Liang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #179
Counting the Optimal Solutions in Graphical Models
In Probabilistic Methods -- Graphical Models
Radu Marinescu · Rina Dechter
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #180
Direct Estimation of Differential Functional Graphical Models
In Probabilistic Methods -- Graphical Models
Boxin Zhao · Y. Samuel Wang · Mladen Kolar
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #181
On Tractable Computation of Expected Predictions
In Probabilistic Methods -- Graphical Models
Pasha Khosravi · YooJung Choi · Yitao Liang · Antonio Vergari · Guy Van den Broeck
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #182
Smoothing Structured Decomposable Circuits
In Probabilistic Methods -- Graphical Models
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #183
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
In Probabilistic Methods -- Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #184
Structured Graph Learning Via Laplacian Spectral Constraints
In Probabilistic Methods -- Graphical Models
Sandeep Kumar · Jiaxi Ying · José Vinícius de Miranda Cardoso · Daniel Palomar
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #185
Bayesian Learning of Sum-Product Networks
In Probabilistic Methods -- Latent Variable Models
Martin Trapp · Robert Peharz · Hong Ge · Franz Pernkopf · Zoubin Ghahramani
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #186
Latent distance estimation for random geometric graphs
In Probabilistic Methods -- Latent Variable Models
Ernesto Araya Valdivia · De Castro Yohann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #187
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
In Probabilistic Methods -- Latent Variable Models
Gabriel Loaiza-Ganem · John Cunningham
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #188
Discriminative Topic Modeling with Logistic LDA
In Probabilistic Methods -- Topic Models
Iryna Korshunova · Hanchen Xiong · Mateusz Fedoryszak · Lucas Theis
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #189
Precision-Recall Balanced Topic Modelling
In Probabilistic Methods -- Topic Models
Seppo Virtanen · Mark Girolami
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #190
Scalable inference of topic evolution via models for latent geometric structures
In Probabilistic Methods -- Topic Models
Mikhail Yurochkin · Zhiwei Fan · Aritra Guha · Paraschos Koutris · XuanLong Nguyen
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #191
Compositional Plan Vectors
In Reinforcement Learning and Planning -- Decision and Control
Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #192
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
In Reinforcement Learning and Planning -- Decision and Control
Yingying Li · Xin Chen · Na Li
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #193
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
In Reinforcement Learning and Planning -- Decision and Control
Kaiqing Zhang · Zhuoran Yang · Tamer Basar
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #194
Policy Continuation with Hindsight Inverse Dynamics
In Reinforcement Learning and Planning -- Decision and Control
Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #195
DAC: The Double Actor-Critic Architecture for Learning Options
In Reinforcement Learning and Planning -- Hierarchical RL
Shangtong Zhang · Shimon Whiteson
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #196
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
In Reinforcement Learning and Planning -- Hierarchical RL
Siyuan Li · Rui Wang · Minxue Tang · Chongjie Zhang
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #197
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
In Reinforcement Learning and Planning -- Hierarchical RL
YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #198
Learning Robust Options by Conditional Value at Risk Optimization
In Reinforcement Learning and Planning -- Hierarchical RL
Takuya Hiraoka · Takahisa Imagawa · Tatsuya Mori · Takashi Onishi · Yoshimasa Tsuruoka
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #199
The Option Keyboard: Combining Skills in Reinforcement Learning
In Reinforcement Learning and Planning -- Hierarchical RL
Andre Barreto · Diana Borsa · Shaobo Hou · Gheorghe Comanici · Eser Aygün · Philippe Hamel · Daniel Toyama · jonathan j hunt · Shibl Mourad · David Silver · Doina Precup
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #200
A Geometric Perspective on Optimal Representations for Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Marc Bellemare · Will Dabney · Robert Dadashi · Adrien Ali Taiga · Pablo Samuel Castro · Nicolas Le Roux · Dale Schuurmans · Tor Lattimore · Clare Lyle
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #201
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Wenhao Yang · Xiang Li · Zhihua Zhang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #202
Constrained Reinforcement Learning Has Zero Duality Gap
In Reinforcement Learning and Planning -- Reinforcement Learning
Santiago Paternain · Luiz Chamon · Miguel Calvo-Fullana · Alejandro Ribeiro
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #203
Distributional Reward Decomposition for Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Zichuan Lin · Li Zhao · Derek Yang · Tao Qin · Tie-Yan Liu · Guangwen Yang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #204
Divergence-Augmented Policy Optimization
In Reinforcement Learning and Planning -- Reinforcement Learning
Qing Wang · Yingru Li · Jiechao Xiong · Tong Zhang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #205
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
In Reinforcement Learning and Planning -- Reinforcement Learning
Ofir Nachum · Yinlam Chow · Bo Dai · Lihong Li
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #206
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
In Reinforcement Learning and Planning -- Reinforcement Learning
Supratik Paul · Vitaly Kurin · Shimon Whiteson
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #207
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Harsh Gupta · R. Srikant · Lei Ying
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #208
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Derek Yang · Li Zhao · Zichuan Lin · Tao Qin · Jiang Bian · Tie-Yan Liu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #209
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Nathan Kallus · Masatoshi Uehara
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #210
Learning Reward Machines for Partially Observable Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #211
Off-Policy Evaluation via Off-Policy Classification
In Reinforcement Learning and Planning -- Reinforcement Learning
Alexander Irpan · Kanishka Rao · Konstantinos Bousmalis · Chris Harris · Julian Ibarz · Sergey Levine
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #212
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies
In Reinforcement Learning and Planning -- Reinforcement Learning
Kamyar Ghasemipour · Shixiang (Shane) Gu · Richard Zemel
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #213
Variance Reduced Policy Evaluation with Smooth Function Approximation
In Reinforcement Learning and Planning -- Reinforcement Learning
Hoi-To Wai · Mingyi Hong · Zhuoran Yang · Zhaoran Wang · Kexin Tang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #214
VIREL: A Variational Inference Framework for Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Mattie Fellows · Anuj Mahajan · Tim G. J. Rudner · Shimon Whiteson
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #215
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
In Theory -- Game Theory and Computational Economics
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #216
Equitable Stable Matchings in Quadratic Time
In Theory -- Game Theory and Computational Economics
Nikolaos Tziavelis · Ioannis Giannakopoulos · Katerina Doka · Nectarios Koziris · Panagiotis Karras
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #217
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
In Theory -- Game Theory and Computational Economics
James Bailey · Georgios Piliouras
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #218
Learning Auctions with Robust Incentive Guarantees
In Theory -- Game Theory and Computational Economics
Jacob Abernethy · Rachel Cummings · Bhuvesh Kumar · Sam Taggart · Jamie Morgenstern
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
In Theory -- Game Theory and Computational Economics
Arsenii Vanunts · Alexey Drutsa
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
In Theory -- Game Theory and Computational Economics
Gabriele Farina · Christian Kroer · Tuomas Sandholm
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
An Embedding Framework for Consistent Polyhedral Surrogates
In Theory -- Learning Theory
Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
Covariate-Powered Empirical Bayes Estimation
In Theory -- Learning Theory
Nikolaos Ignatiadis · Stefan Wager
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
Learning Bayesian Networks with Low Rank Conditional Probability Tables
In Theory -- Learning Theory
Adarsh Barik · Jean Honorio
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
Learning to Screen
In Theory -- Learning Theory
Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
Limits of Private Learning with Access to Public Data
In Theory -- Learning Theory
Raef Bassily · Shay Moran · Noga Alon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Multiclass Performance Metric Elicitation
In Theory -- Learning Theory
Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Sanmi Koyejo
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
On the Value of Target Data in Transfer Learning
In Theory -- Learning Theory
Steve Hanneke · Samory Kpotufe
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
In Theory -- Learning Theory
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Eric Price · Alistair Stewart
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
In Theory -- Learning Theory
Farnam Mansouri · Yuxin Chen · Ara Vartanian · Jerry Zhu · Adish Singla
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #230
Rates of Convergence for Large-scale Nearest Neighbor Classification
In Theory -- Learning Theory
Xingye Qiao · Jiexin Duan · Guang Cheng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #231
What Can ResNet Learn Efficiently, Going Beyond Kernels?
In Theory -- Learning Theory
Zeyuan Allen-Zhu · Yuanzhi Li
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #232
Faster width-dependent algorithm for mixed packing and covering LPs
In Theory -- Regularization
Digvijay Boob · Saurabh Sawlani · Di Wang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #233
First order expansion of convex regularized estimators
In Theory -- Regularization
Pierre C Bellec · Arun Kuchibhotla
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #234
On the number of variables to use in principal component regression
In Theory -- Regularization
Ji Xu · Daniel Hsu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #235
Implicit Regularization for Optimal Sparse Recovery
In Theory -- Regularization
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #236
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
In Theory -- Regularization
Basri Ronen · David Jacobs · Yoni Kasten · Shira Kritchman
[ Paper]  [ Slides] 
Break
Wed Dec 11 12:45 PM -- 02:15 PM (PST)
lunch Break on Your Own
Invited Talk (Posner Lecture)
Wed Dec 11 02:15 PM -- 03:05 PM (PST) @ West Exhibition Hall C + B3
From System 1 Deep Learning to System 2 Deep Learning
Yoshua Bengio
[ Slides] 
Break
Wed Dec 11 03:05 PM -- 03:50 PM (PST) @ West and East
Coffee Break
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall A
Batched Multi-armed Bandits Problem
In Track 2 Session 4
Zijun Gao · Yanjun Han · Zhimei Ren · Zhengqing Zhou
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Ballroom C
Efficient and Thrifty Voting by Any Means Necessary
In Track 4 Session 4
Debmalya Mandal · Ariel Procaccia · Nisarg Shah · David Woodruff
[ Paper]  [ Slides] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Ballroom A + B
Guided Similarity Separation for Image Retrieval
In Track 3 Session 4
Chundi Liu · Guangwei Yu · Maksims Volkovs · Cheng Chang · Himanshu Rai · Junwei Ma · Satya Krishna Gorti
[ Paper]  [ Poster] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
In Track 1 Session 4
Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall A
Are sample means in multi-armed bandits positively or negatively biased?
In Track 2 Session 4
Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:05 PM -- 04:10 PM (PST) @ West Ballroom C
Finding Friend and Foe in Multi-Agent Games
In Track 4 Session 4
Jack Serrino · Max Kleiman-Weiner · David Parkes · Josh Tenenbaum
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:05 PM -- 04:10 PM (PST) @ West Ballroom A + B
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
In Track 3 Session 4
James Requeima · Jonathan Gordon · John Bronskill · Sebastian Nowozin · Richard Turner
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall C + B3
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
In Track 1 Session 4
Surbhi Goel · Sushrut Karmalkar · Adam Klivans
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall A
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
In Track 2 Session 4
Etienne Boursier · Vianney Perchet
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:10 PM -- 04:15 PM (PST) @ West Ballroom C
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
In Track 4 Session 4
Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:10 PM -- 04:15 PM (PST) @ West Ballroom A + B
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
In Track 3 Session 4
Risto Vuorio · Shao-Hua Sun · Hexiang Hu · Joseph Lim
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall C + B3
Limitations of Lazy Training of Two-layers Neural Network
In Track 1 Session 4
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall A
Recovering Bandits
In Track 2 Session 4
Ciara Pike-Burke · Steffen Grünewälder
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:15 PM -- 04:20 PM (PST) @ West Ballroom C
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
In Track 4 Session 4
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Wed Dec 11 04:15 PM -- 04:20 PM (PST) @ West Ballroom A + B
Efficient Meta Learning via Minibatch Proximal Update
In Track 3 Session 4
Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall C + B3
Generalization Bounds for Neural Networks via Approximate Description Length
In Track 1 Session 4
Amit Daniely · Elad Granot
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Model Selection for Contextual Bandits
In Track 2 Session 4
Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:20 PM -- 04:25 PM (PST) @ West Ballroom C
Multiagent Evaluation under Incomplete Information
In Track 4 Session 4
Mark Rowland · Shayegan Omidshafiei · Karl Tuyls · Julien Perolat · Michal Valko · Georgios Piliouras · Remi Munos
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:20 PM -- 04:25 PM (PST) @ West Ballroom A + B
Reconciling meta-learning and continual learning with online mixtures of tasks
In Track 3 Session 4
Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
In Track 1 Session 4
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
[ Paper]  [ Slides]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall A
Strategizing against No-regret Learners
In Track 2 Session 4
Yuan Deng · Jon Schneider · Balasubramanian Sivan
[ Paper]  [ Poster] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Ballroom C
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
In Track 4 Session 4
Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos
[ Paper]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Ballroom A + B
Geometry-Aware Neural Rendering
In Track 3 Session 4
Joshua Tobin · Wojciech Zaremba · Pieter Abbeel
[ Paper]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Making Stochastic Classifiers Deterministic
In Track 1 Session 4
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
[ Paper]  [ Slides] 
Spotlight
Wed Dec 11 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization
In Track 2 Session 4
Gautam Goel · Yiheng Lin · Haoyuan Sun · Adam Wierman
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Graph-based Discriminators: Sample Complexity and Expressiveness
In Track 4 Session 4
Roi Livni · Yishay Mansour
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:40 PM -- 04:45 PM (PST) @ West Ballroom A + B
Learning by Abstraction: The Neural State Machine
In Track 3 Session 4
Drew Hudson · Christopher Manning
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Cold Case: The Lost MNIST Digits
In Track 1 Session 4
Chhavi Yadav · Leon Bottou
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall A
Learning in Generalized Linear Contextual Bandits with Stochastic Delays
In Track 2 Session 4
Zhengyuan Zhou · Renyuan Xu · Jose Blanchet
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
In Track 4 Session 4
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:45 PM -- 04:50 PM (PST) @ West Ballroom A + B
Heterogeneous Graph Learning for Visual Commonsense Reasoning
In Track 3 Session 4
Weijiang Yu · Jingwen Zhou · Weihao Yu · Xiaodan Liang · Nong Xiao
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
An adaptive nearest neighbor rule for classification
In Track 1 Session 4
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall A
Optimal Stochastic and Online Learning with Individual Iterates
In Track 2 Session 4
Yunwen Lei · Peng Yang · Ke Tang · Ding-Xuan Zhou
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:50 PM -- 04:55 PM (PST) @ West Ballroom C
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
In Track 4 Session 4
Rui (Ray) Zhang · Xingwu Liu · Yuyi Wang · Liwei Wang
Spotlight
Wed Dec 11 04:50 PM -- 04:55 PM (PST) @ West Ballroom A + B
Self-Critical Reasoning for Robust Visual Question Answering
In Track 3 Session 4
Jialin Wu · Raymond Mooney
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall C + B3
Multilabel reductions: what is my loss optimising?
In Track 1 Session 4
Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall A
Online Learning via the Differential Privacy Lens
In Track 2 Session 4
Jacob Abernethy · Young H Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:55 PM -- 05:00 PM (PST) @ West Ballroom C
The Broad Optimality of Profile Maximum Likelihood
In Track 4 Session 4
Yi Hao · Alon Orlitsky
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Wed Dec 11 04:55 PM -- 05:00 PM (PST) @ West Ballroom A + B
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
In Track 3 Session 4
Alex Wang · Yada Pruksachatkun · Nikita Nangia · Amanpreet Singh · Julian Michael · Felix Hill · Omer Levy · Samuel Bowman
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Wed Dec 11 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall C + B3
Optimal Sparse Decision Trees
In Track 1 Session 4
Xiyang Hu · Cynthia Rudin · Margo Seltzer
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #801
Melody Slot Machine
In Demos Wed
Masatoshi Hamanaka
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #802
Smart Home Appliances: Chat with your Fridge
In Demos Wed
Denis Gudovskiy · Alec Hodgkinson · Stefano Alletto · Luca Rigazio
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #803
Shared Mobile-Cloud Inference for Collaborative Intelligence
In Demos Wed
Mateen Ulhaq · Ivan Bajić
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #804
Project BB: Bringing AI to the Command Line
In Demos Wed
Tathagata Chakraborti · Mayank Agarwal
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #806
Immersions - How Does Music Sound to Artificial Ears?
In Demos Wed
Vincent Herrmann
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #807
The Option Keyboard: Combining Skills in Reinforcement Learning
In Demos Wed
Daniel Toyama · Shaobo Hou · Gheorghe Comanici · Andre Barreto · Doina Precup · Shibl Mourad · Eser Aygün · Philippe Hamel
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #808
AllenNLP Interpret: Explaining Predictions of NLP Models
In Demos Wed
Jens Tuyls · Eric Wallace · Matt Gardner · Junlin Wang · Sameer Singh · Sanjay Subramanian
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #809___1
Deep Space-Time Prior for Realtime Mobile Novel View Synthesis
In Demos Wed
Zainul Shah
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #809___0
Passcode: A cooperative word guessing game between a human and AI agent
In Demos Wed
Katy Gero · Maria Ruis · Zahra Ashktorab · J Johnson · Sadhana Kumaravel · Wei Zhang · Qian Pan · Murray Campbell · Casey Dugan · David Millen · Sarah Miller · Werner Geyer
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #810
AIDEme: An active learning based system for interactive exploration of large datasets
In Demos Wed
Enhui Huang · Luciano Di Palma · Laurent Cetinsoy · Yanlei Diao · Anna Liu
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #811
BIM-GAN: a sketch to layout, 3D, and VR tool for architectural floor plan design
In Demos Wed
Chin-Yi Cheng
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #812
One-on-one fitness training with an AI avatar
In Demos Wed
Roland Memisevic · Guillaume Berger · Tippi Puar · David Greenberg
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #813
Real Time CFD simulations with 3D Mesh Convolutional Networks
In Demos Wed
Pierre Baque · Pascal Fua · François Fleuret
Demonstration
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #814
F1/10: An open-source 1/10th scale platform for autonomous racing and reinforcement learning
In Demos Wed
Matthew O'Kelly · Dhruv Karthik · Hongrui Zheng · Joseph Auckley · Siddharth Singh · Shashank D Prasad · Kim Luong · Matthew R Lebermann · Rahul Mangharam
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #1
Improved Regret Bounds for Bandit Combinatorial Optimization
In Algorithms -- Bandit Algorithms
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #2
Learning in Generalized Linear Contextual Bandits with Stochastic Delays
In Algorithms -- Bandit Algorithms
Zhengyuan Zhou · Renyuan Xu · Jose Blanchet
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #3
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
In Algorithms -- Bandit Algorithms
Jonas Mueller · Vasilis Syrgkanis · Matt Taddy
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #4
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
In Algorithms -- Bandit Algorithms
Sumeet Katariya · Ardhendu Tripathy · Robert Nowak
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #5
Model Selection for Contextual Bandits
In Algorithms -- Bandit Algorithms
Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #6
No-Regret Learning in Unknown Games with Correlated Payoffs
In Algorithms -- Bandit Algorithms
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #7
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
In Algorithms -- Bandit Algorithms
Nirandika Wanigasekara · Christina Yu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #8
Pure Exploration with Multiple Correct Answers
In Algorithms -- Bandit Algorithms
Rémy Degenne · Wouter Koolen
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #9
Recovering Bandits
In Algorithms -- Bandit Algorithms
Ciara Pike-Burke · Steffen Grünewälder
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #10
Sequential Experimental Design for Transductive Linear Bandits
In Algorithms -- Bandit Algorithms
Lalit Jain · Kevin Jamieson · Tanner Fiez · Lillian Ratliff
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #11
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
In Algorithms -- Bandit Algorithms
Etienne Boursier · Vianney Perchet
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #12
Are sample means in multi-armed bandits positively or negatively biased?
In Algorithms -- Bandit Algorithms
Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #13
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
In Algorithms -- Classification
Sascha Saralajew · Lars Holdijk · Maike Rees · Ebubekir Asan · Thomas Villmann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #14
Multilabel reductions: what is my loss optimising?
In Algorithms -- Classification
Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #15
Optimal Sparse Decision Trees
In Algorithms -- Classification
Xiyang Hu · Cynthia Rudin · Margo Seltzer
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #16
Markov Random Fields for Collaborative Filtering
In Algorithms -- Collaborative Filtering
Harald Steck
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #17
Regularized Weighted Low Rank Approximation
In Algorithms -- Collaborative Filtering
Frank Ban · David Woodruff · Richard Zhang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #18
Adaptive Cross-Modal Few-shot Learning
In Algorithms -- Few-Shot Learning
Chen Xing · Negar Rostamzadeh · Boris Oreshkin · Pedro O. Pinheiro
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #19
Cross Attention Network for Few-shot Classification
In Algorithms -- Few-Shot Learning
Ruibing Hou · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #20
Incremental Few-Shot Learning with Attention Attractor Networks
In Algorithms -- Few-Shot Learning
Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #21
Learning to Self-Train for Semi-Supervised Few-Shot Classification
In Algorithms -- Few-Shot Learning
Xinzhe Li · Qianru Sun · Yaoyao Liu · Qin Zhou · Shibao Zheng · Tat-Seng Chua · Bernt Schiele
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #22
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
In Algorithms -- Few-Shot Learning
Satoshi Tsutsui · Yanwei Fu · David Crandall
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #23
Transductive Zero-Shot Learning with Visual Structure Constraint
In Algorithms -- Few-Shot Learning
Ziyu Wan · Dongdong Chen · Yan Li · Xingguang Yan · Junge Zhang · Yizhou Yu · Jing Liao
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #24
Unsupervised Meta-Learning for Few-Shot Image Classification
In Algorithms -- Few-Shot Learning
Siavash Khodadadeh · Ladislau Boloni · Mubarak Shah
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #25
Zero-shot Learning via Simultaneous Generating and Learning
In Algorithms -- Few-Shot Learning
Hyeonwoo Yu · Beomhee Lee
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #26
Efficient Meta Learning via Minibatch Proximal Update
In Algorithms -- Meta-Learning
Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #27
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
In Algorithms -- Meta-Learning
James Requeima · Jonathan Gordon · John Bronskill · Sebastian Nowozin · Richard Turner
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #28
Learning to Learn By Self-Critique
In Algorithms -- Meta-Learning
Antreas Antoniou · Amos Storkey
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #29
MetaInit: Initializing learning by learning to initialize
In Algorithms -- Meta-Learning
Yann Dauphin · Samuel Schoenholz
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #30
Metalearned Neural Memory
In Algorithms -- Meta-Learning
Tsendsuren Munkhdalai · Alessandro Sordoni · TONG WANG · Adam Trischler
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #31
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
In Algorithms -- Meta-Learning
Risto Vuorio · Shao-Hua Sun · Hexiang Hu · Joseph Lim
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #32
Neural Relational Inference with Fast Modular Meta-learning
In Algorithms -- Meta-Learning
Ferran Alet · Erica Weng · Tomás Lozano-Pérez · Leslie Kaelbling
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #33
Online-Within-Online Meta-Learning
In Algorithms -- Meta-Learning
Giulia Denevi · Dimitris Stamos · Carlo Ciliberto · Massimiliano Pontil
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #34
Learning to Optimize in Swarms
In Algorithms -- Meta-Learning
Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #35
Unsupervised Curricula for Visual Meta-Reinforcement Learning
In Algorithms -- Meta-Learning
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #36
Curvilinear Distance Metric Learning
In Algorithms -- Metric Learning
Shuo Chen · Lei Luo · Jian Yang · Chen Gong · Jun Li · Heng Huang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #37
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
In Algorithms -- Metric Learning
Han Liu · Zhizhong Han · Yu-Shen Liu · Ming Gu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #38
Metric Learning for Adversarial Robustness
In Algorithms -- Metric Learning
Chengzhi Mao · Ziyuan Zhong · Junfeng Yang · Carl Vondrick · Baishakhi Ray
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #39
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
In Algorithms -- Multitask and Transfer Learning
Xinyang Chen · Sinan Wang · Bo Fu · Mingsheng Long · Jianmin Wang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #40
Continual Unsupervised Representation Learning
In Algorithms -- Multitask and Transfer Learning
Dushyant Rao · Francesco Visin · Andrei A Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #41
Gradient based sample selection for online continual learning
In Algorithms -- Multitask and Transfer Learning
Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #42
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
In Algorithms -- Multitask and Transfer Learning
Joshua Lee · Prasanna Sattigeri · Gregory Wornell
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #43
Learning Sample-Specific Models with Low-Rank Personalized Regression
In Algorithms -- Multitask and Transfer Learning
Ben Lengerich · Bryon Aragam · Eric Xing
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #44
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
In Algorithms -- Multitask and Transfer Learning
Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #45
Transfer Anomaly Detection by Inferring Latent Domain Representations
In Algorithms -- Multitask and Transfer Learning
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #46
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
In Algorithms -- Multitask and Transfer Learning
Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #47
Uncertainty-based Continual Learning with Adaptive Regularization
In Algorithms -- Multitask and Transfer Learning
Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #48
Bandits with Feedback Graphs and Switching Costs
In Algorithms -- Online Learning
Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #49
Batched Multi-armed Bandits Problem
In Algorithms -- Online Learning
Zijun Gao · Yanjun Han · Zhimei Ren · Zhengqing Zhou
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #50
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization
In Algorithms -- Online Learning
Gautam Goel · Yiheng Lin · Haoyuan Sun · Adam Wierman
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #51
Equipping Experts/Bandits with Long-term Memory
In Algorithms -- Online Learning
Kai Zheng · Haipeng Luo · Ilias Diakonikolas · Liwei Wang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #52
Large Scale Markov Decision Processes with Changing Rewards
In Algorithms -- Online Learning
Adrian Rivera Cardoso · He Wang · Huan Xu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #53
Online Learning via the Differential Privacy Lens
In Algorithms -- Online Learning
Jacob Abernethy · Young H Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #54
Online Normalization for Training Neural Networks
In Algorithms -- Online Learning
Vitaliy Chiley · Ilya Sharapov · Atli Kosson · Urs Koster · Ryan Reece · Sofia Samaniego de la Fuente · Vishal Subbiah · Michael James
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #55
Online Prediction of Switching Graph Labelings with Cluster Specialists
In Algorithms -- Online Learning
Mark Herbster · James Robinson
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #56
Secretary Ranking with Minimal Inversions
In Algorithms -- Online Learning
Sepehr Assadi · Eric Balkanski · Renato Leme
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #57
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
In Algorithms -- Ranking and Preference Learning
Zhibing Zhao · Lirong Xia
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #58
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
In Algorithms -- Ranking and Preference Learning
Wenbo Ren · Jia (Kevin) Liu · Ness Shroff
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #59
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression
In Algorithms -- Ranking and Preference Learning
Ruidi Chen · Yannis Paschalidis
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #60
A Flexible Generative Framework for Graph-based Semi-supervised Learning
In Algorithms -- Relational Learning
Jiaqi Ma · Weijing Tang · Ji Zhu · Qiaozhu Mei
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #61
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
In Algorithms -- Relational Learning
Ming Hou · Jiajia Tang · Jianhai Zhang · Wanzeng Kong · Qibin Zhao
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #62
Diffusion Improves Graph Learning
In Algorithms -- Relational Learning
Johannes Gasteiger · Stefan Weißenberger · Stephan Günnemann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #63
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
In Algorithms -- Relational Learning
Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #64
Hyperbolic Graph Convolutional Neural Networks
In Algorithms -- Relational Learning
Ines Chami · Zhitao Ying · Christopher Ré · Jure Leskovec
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #65
Hyperbolic Graph Neural Networks
In Algorithms -- Relational Learning
Qi Liu · Maximilian Nickel · Douwe Kiela
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #66
Implicitly learning to reason in first-order logic
In Algorithms -- Relational Learning
Vaishak Belle · Brendan Juba
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #67
Learning Disentangled Representations for Recommendation
In Algorithms -- Relational Learning
Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #68
Multi-relational Poincaré Graph Embeddings
In Algorithms -- Relational Learning
Ivana Balazevic · Carl Allen · Timothy Hospedales
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #69
On the equivalence between graph isomorphism testing and function approximation with GNNs
In Algorithms -- Relational Learning
Zhengdao Chen · Soledad Villar · Lei Chen · Joan Bruna
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #70
Probabilistic Logic Neural Networks for Reasoning
In Algorithms -- Relational Learning
Meng Qu · Jian Tang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #71
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
In Algorithms -- Spectral Methods
Gecia Bravo-Hermsdorff · Lee Gunderson
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #72
Learning Deterministic Weighted Automata with Queries and Counterexamples
In Algorithms -- Spectral Methods
Gail Weiss · Yoav Goldberg · Eran Yahav
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #73
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
In Algorithms -- Spectral Methods
Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #74
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
In Applications -- Audio and Speech Processing
Joan Serrà · Santiago Pascual · Carlos Segura Perales
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #75
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging
In Applications -- Audio and Speech Processing
Matthieu SIMEONI · Sepand Kashani · Paul Hurley · Martin Vetterli
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #76
FastSpeech: Fast, Robust and Controllable Text to Speech
In Applications -- Audio and Speech Processing
Yi Ren · Yangjun Ruan · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #77
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
In Applications -- Audio and Speech Processing
Kundan Kumar · Rithesh Kumar · Thibault de Boissiere · Lucas Gestin · Wei Zhen Teoh · Jose Sotelo · Alexandre de Brébisson · Yoshua Bengio · Aaron Courville
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #78
Adaptive GNN for Image Analysis and Editing
In Applications -- Computer Vision
Lingyu Liang · LianWen Jin · Yong Xu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #79
Few-shot Video-to-Video Synthesis
In Applications -- Computer Vision
Ting-Chun Wang · Ming-Yu Liu · Andrew Tao · Guilin Liu · Bryan Catanzaro · Jan Kautz
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #80
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration
In Applications -- Computer Vision
Jianchun Chen · Lingjing Wang · Xiang Li · Yi Fang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #81
Image Synthesis with a Single (Robust) Classifier
In Applications -- Computer Vision
Shibani Santurkar · Andrew Ilyas · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #82
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
In Applications -- Computer Vision
Natalia Neverova · David Novotny · Andrea Vedaldi
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #83
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
In Applications -- Computer Vision
Yiqi Zhong · Cho-Ying Wu · Suya You · Ulrich Neumann
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #84
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
In Applications -- Computer Vision
Fuwen Tan · Paola Cascante-Bonilla · Xiaoxiao Guo · Hui Wu · Song Feng · Vicente Ordonez
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #85
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
In Applications -- Computer Vision
Jian Ni · Shanghang Zhang · Haiyong Xie
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #86
Guided Similarity Separation for Image Retrieval
In Applications -- Computer Vision
Chundi Liu · Guangwei Yu · Maksims Volkovs · Cheng Chang · Himanshu Rai · Junwei Ma · Satya Krishna Gorti
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #87
Incremental Scene Synthesis
In Applications -- Computer Vision
Benjamin Planche · Xuejian Rong · Ziyan Wu · Srikrishna Karanam · Harald Kosch · YingLi Tian · Jan Ernst · ANDREAS HUTTER
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #88
Multi-mapping Image-to-Image Translation via Learning Disentanglement
In Applications -- Computer Vision
Xiaoming Yu · Yuanqi Chen · Shan Liu · Thomas Li · Ge Li
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #89
Neural Diffusion Distance for Image Segmentation
In Applications -- Computer Vision
Jian Sun · Zongben Xu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #90
Predicting the Politics of an Image Using Webly Supervised Data
In Applications -- Computer Vision
Christopher Thomas · Adriana Kovashka
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #91
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
In Applications -- Computer Vision
Aleksis Pirinen · Erik Gärtner · Cristian Sminchisescu
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #92
Cross-Modal Learning with Adversarial Samples
In Applications -- Information Retrieval
CHAO LI · Shangqian Gao · Cheng Deng · De Xie · Wei Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #93
Möbius Transformation for Fast Inner Product Search on Graph
In Applications -- Information Retrieval
Zhixin Zhou · Shulong Tan · Zhaozhuo Xu · Ping Li
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #94
DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
In Applications -- Information Retrieval
Suhas Jayaram Subramanya · Fnu Devvrit · Harsha Vardhan Simhadri · Ravishankar Krishnawamy · Rohan Kadekodi
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #95
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
In Applications -- Matrix and Tensor Factorization
Shahana Ibrahim · Xiao Fu · Nikolaos Kargas · Kejun Huang
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #96
Expressive power of tensor-network factorizations for probabilistic modeling
In Applications -- Matrix and Tensor Factorization
Ivan Glasser · Ryan Sweke · Nicola Pancotti · Jens Eisert · Ignacio Cirac
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #97
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
In Applications -- Matrix and Tensor Factorization
Jicong Fan · Lijun Ding · Yudong Chen · Madeleine Udell
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #98
Multiway clustering via tensor block models
In Applications -- Matrix and Tensor Factorization
Miaoyan Wang · Yuchen Zeng
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #99
Singleshot : a scalable Tucker tensor decomposition
In Applications -- Matrix and Tensor Factorization
Abraham Traore · Maxime Berar · Alain Rakotomamonjy
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #100
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
In Applications -- Natural Language Processing
Alex Wang · Yada Pruksachatkun · Nikita Nangia · Amanpreet Singh · Julian Michael · Felix Hill · Omer Levy · Samuel Bowman
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #101
A Tensorized Transformer for Language Modeling
In Applications -- Natural Language Processing
Xindian Ma · Peng Zhang · Shuai Zhang · Nan Duan · Yuexian Hou · Ming Zhou · Dawei Song
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #102
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
In Applications -- Natural Language Processing
Ronghui You · Zihan Zhang · Ziye Wang · Suyang Dai · Hiroshi Mamitsuka · Shanfeng Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #103
Comparing Unsupervised Word Translation Methods Step by Step
In Applications -- Natural Language Processing
Mareike Hartmann · Yova Kementchedjhieva · Anders Søgaard
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #104
Glyce: Glyph-vectors for Chinese Character Representations
In Applications -- Natural Language Processing
Yuxian Meng · Wei Wu · Fei Wang · Xiaoya Li · Ping Nie · Fan Yin · Muyu Li · Qinghong Han · Yuxian Meng · Jiwei Li
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #105
Hierarchical Optimal Transport for Document Representation
In Applications -- Natural Language Processing
Mikhail Yurochkin · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin Solomon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #106
Improving Textual Network Learning with Variational Homophilic Embeddings
In Applications -- Natural Language Processing
Wenlin Wang · Chenyang Tao · Zhe Gan · Guoyin Wang · Liqun Chen · Xinyuan Zhang · Ruiyi Zhang · Qian Yang · Ricardo Henao · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #107
Mixtape: Breaking the Softmax Bottleneck Efficiently
In Applications -- Natural Language Processing
Zhilin Yang · Thang Luong · Russ Salakhutdinov · Quoc V Le
[ Paper] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #108
Ouroboros: On Accelerating Training of Transformer-Based Language Models
In Applications -- Natural Language Processing
Qian Yang · Zhouyuan Huo · Wenlin Wang · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #109
Fast Structured Decoding for Sequence Models
In Applications -- Natural Language Processing
Zhiqing Sun · Zhuohan Li · Haoqing Wang · Di He · Zi Lin · Zhihong Deng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #110
Data-driven Estimation of Sinusoid Frequencies
In Applications -- Signal Processing
Gautier Izacard · Sreyas Mohan · Carlos Fernandez-Granda
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #111
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor
In Applications -- Signal Processing
Meera Pai · Animesh Kumar
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #112
Don't take it lightly: Phasing optical random projections with unknown operators
In Applications -- Signal Processing
Sidharth Gupta · Remi Gribonval · Laurent Daudet · Ivan Dokmanić
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #113
Connective Cognition Network for Directional Visual Commonsense Reasoning
In Applications -- Visual Question Answering
Aming Wu · Linchao Zhu · Yahong Han · Yi Yang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #114
Heterogeneous Graph Learning for Visual Commonsense Reasoning
In Applications -- Visual Question Answering
Weijiang Yu · Jingwen Zhou · Weihao Yu · Xiaodan Liang · Nong Xiao
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #115
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
In Applications -- Visual Question Answering
Wonjae Kim · Yoonho Lee
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #116
RUBi: Reducing Unimodal Biases for Visual Question Answering
In Applications -- Visual Question Answering
Remi Cadene · Corentin Dancette · Hedi Ben younes · Matthieu Cord · Devi Parikh
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #117
Self-Critical Reasoning for Robust Visual Question Answering
In Applications -- Visual Question Answering
Jialin Wu · Raymond Mooney
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #118
Variational Structured Semantic Inference for Diverse Image Captioning
In Applications -- Visual Question Answering
Fuhai Chen · Rongrong Ji · Jiayi Ji · Xiaoshuai Sun · Baochang Zhang · Xuri Ge · Yongjian Wu · Feiyue Huang · Yan Wang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #119
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
In Applications -- Visual Question Answering
Jiasen Lu · Dhruv Batra · Devi Parikh · Stefan Lee
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #120
Visual Concept-Metaconcept Learning
In Applications -- Visual Question Answering
Chi Han · Jiayuan Mao · Chuang Gan · Josh Tenenbaum · Jiajun Wu
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #121
Detecting Overfitting via Adversarial Examples
In Data, Challenges, Implementations, and Software -- Benchmarks
Roman Werpachowski · András György · Csaba Szepesvari
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #122
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
In Data, Challenges, Implementations, and Software -- Benchmarks
Ruibo Tu · Kun Zhang · Bo Bertilson · Hedvig Kjellstrom · Cheng Zhang
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #123
Cold Case: The Lost MNIST Digits
In Data, Challenges, Implementations, and Software -- Data Sets or Data Repositories
Chhavi Yadav · Leon Bottou
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #124
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
In Data, Challenges, Implementations, and Software -- Data Sets or Data Repositories
Alex Lu · Amy Lu · Wiebke Schormann · Marzyeh Ghassemi · David Andrews · Alan Moses
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #125
PHYRE: A New Benchmark for Physical Reasoning
In Data, Challenges, Implementations, and Software -- Virtual Environments
Anton Bakhtin · Laurens van der Maaten · Justin Johnson · Laura Gustafson · Ross Girshick
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #126
Are Sixteen Heads Really Better than One?
In Deep Learning -- Attention Models
Paul Michel · Omer Levy · Graham Neubig
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #127
Compositional De-Attention Networks
In Deep Learning -- Attention Models
Yi Tay · Anh Tuan Luu · Aston Zhang · Shuohang Wang · Siu Cheung Hui
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #128
Geometry-Aware Neural Rendering
In Deep Learning -- Attention Models
Joshua Tobin · Wojciech Zaremba · Pieter Abbeel
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #129
Image Captioning: Transforming Objects into Words
In Deep Learning -- Attention Models
Simao Herdade · Armin Kappeler · Kofi Boakye · Joao Soares
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #130
Learning by Abstraction: The Neural State Machine
In Deep Learning -- Attention Models
Drew Hudson · Christopher Manning
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #131
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time
In Deep Learning -- Attention Models
Karlis Freivalds · Emīls Ozoliņš · Agris Šostaks
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #132
Novel positional encodings to enable tree-based transformers
In Deep Learning -- Attention Models
Vighnesh Shiv · Chris Quirk
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #133
Self-attention with Functional Time Representation Learning
In Deep Learning -- Attention Models
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #134
Understanding Attention and Generalization in Graph Neural Networks
In Deep Learning -- Attention Models
Boris Knyazev · Graham Taylor · Mohamed Amer
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #135
A Domain Agnostic Measure for Monitoring and Evaluating GANs
In Deep Learning -- Generative Models
Paulina Grnarova · Kfir Y. Levy · Aurelien Lucchi · Nathanael Perraudin · Ian Goodfellow · Thomas Hofmann · Andreas Krause
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #136
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
In Deep Learning -- Generative Models
Aditya Grover · Jiaming Song · Ashish Kapoor · Kenneth Tran · Alekh Agarwal · Eric Horvitz · Stefano Ermon
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #137
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
In Deep Learning -- Generative Models
Nataša Tagasovska · Damien Ackerer · Thibault Vatter
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #138
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data
In Deep Learning -- Generative Models
Gabriel Loaiza-Ganem · Sean Perkins · Karen Schroeder · Mark Churchland · John Cunningham
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #139
Discrete Object Generation with Reversible Inductive Construction
In Deep Learning -- Generative Models
Ari Seff · Wenda Zhou · Farhan Damani · Abigail Doyle · Ryan Adams
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #140
Generating Diverse High-Fidelity Images with VQ-VAE-2
In Deep Learning -- Generative Models
Ali Razavi · Aaron van den Oord · Oriol Vinyals
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #141
Generative Well-intentioned Networks
In Deep Learning -- Generative Models
Justin Cosentino · Jun Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #142
Graph Normalizing Flows
In Deep Learning -- Generative Models
Jenny Liu · Aviral Kumar · Jimmy Ba · Jamie Kiros · Kevin Swersky
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #143
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model
In Deep Learning -- Generative Models
Wenbo Gong · Sebastian Tschiatschek · Sebastian Nowozin · Richard Turner · José Miguel Hernández-Lobato · Cheng Zhang
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #144
Integer Discrete Flows and Lossless Compression
In Deep Learning -- Generative Models
Emiel Hoogeboom · Jorn Peters · Rianne van den Berg · Max Welling
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #145
Amortized Bethe Free Energy Minimization for Learning MRFs
In Deep Learning -- Generative Models
Sam Wiseman · Yoon Kim
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #146
MintNet: Building Invertible Neural Networks with Masked Convolutions
In Deep Learning -- Generative Models
Yang Song · Chenlin Meng · Stefano Ermon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #147
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
In Deep Learning -- Generative Models
Yukai Liu · Rose Yu · Stephan Zheng · Eric Zhan · Yisong Yue
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #148
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
In Deep Learning -- Generative Models
Cagatay Yildiz · Markus Heinonen · Harri Lahdesmaki
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #149
Scalable Deep Generative Relational Model with High-Order Node Dependence
In Deep Learning -- Generative Models
Xuhui Fan · Bin Li · Caoyuan Li · Scott SIsson · Ling Chen
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #150
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
In Deep Learning -- Generative Models
Yuge Shi · Siddharth N · Brooks Paige · Philip Torr
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #151
Variational Temporal Abstraction
In Deep Learning -- Generative Models
Taesup Kim · Sungjin Ahn · Yoshua Bengio
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #152
A Generic Acceleration Framework for Stochastic Composite Optimization
In Optimization -- Convex Optimization
Andrei Kulunchakov · Julien Mairal
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #153
A unified variance-reduced accelerated gradient method for convex optimization
In Optimization -- Convex Optimization
Guanghui Lan · Zhize Li · Yi Zhou
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #154
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
In Optimization -- Convex Optimization
Ashia Wilson · Lester Mackey · Andre Wibisono
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #155
Communication trade-offs for Local-SGD with large step size
In Optimization -- Convex Optimization
Aymeric Dieuleveut · Kumar Kshitij Patel
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #156
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control
In Optimization -- Convex Optimization
Miguel Vaquero · Jorge Cortes
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #157
Decentralized sketching of low rank matrices
In Optimization -- Convex Optimization
Rakshith Sharma Srinivasa · Kiryung Lee · Marius Junge · Justin Romberg
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #158
Differentiable Convex Optimization Layers
In Optimization -- Convex Optimization
Akshay Agrawal · Brandon Amos · Shane Barratt · Stephen Boyd · Steven Diamond · J. Zico Kolter
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #159
Dimension-Free Bounds for Low-Precision Training
In Optimization -- Convex Optimization
Zheng Li · Christopher De Sa
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #160
Fast and Accurate Stochastic Gradient Estimation
In Optimization -- Convex Optimization
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #161
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
In Optimization -- Convex Optimization
Deeksha Adil · Richard Peng · Sushant Sachdeva
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #162
Hamiltonian descent for composite objectives
In Optimization -- Convex Optimization
Brendan O'Donoghue · Chris Maddison
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #163
High-Dimensional Optimization in Adaptive Random Subspaces
In Optimization -- Convex Optimization
Jonathan Lacotte · Mert Pilanci · Marco Pavone
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #164
Optimal Stochastic and Online Learning with Individual Iterates
In Optimization -- Convex Optimization
Yunwen Lei · Peng Yang · Ke Tang · Ding-Xuan Zhou
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #165
Primal-Dual Block Generalized Frank-Wolfe
In Optimization -- Convex Optimization
Qi Lei · JIACHENG ZHUO · Constantine Caramanis · Inderjit Dhillon · Alex Dimakis
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #166
Stochastic Frank-Wolfe for Composite Convex Minimization
In Optimization -- Convex Optimization
Francesco Locatello · Alp Yurtsever · Olivier Fercoq · Volkan Cevher
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #167
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
In Optimization -- Convex Optimization
Adithya M Devraj · Jianshu Chen
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #168
Band-Limited Gaussian Processes: The Sinc Kernel
In Probabilistic Methods -- Gaussian Processes
Felipe Tobar
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #169
Exact Gaussian Processes on a Million Data Points
In Probabilistic Methods -- Gaussian Processes
Ke Alexander Wang · Geoff Pleiss · Jacob Gardner · Stephen Tyree · Kilian Weinberger · Andrew Gordon Wilson
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #170
Function-Space Distributions over Kernels
In Probabilistic Methods -- Gaussian Processes
Gregory Benton · Wesley Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #171
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
In Probabilistic Methods -- Gaussian Processes
Lingge Li · Dustin Pluta · Babak Shahbaba · Norbert Fortin · Hernando Ombao · Pierre Baldi
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #172
Multi-resolution Multi-task Gaussian Processes
In Probabilistic Methods -- Gaussian Processes
Oliver Hamelijnck · Theodoros Damoulas · Kangrui Wang · Mark Girolami
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #173
Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi · Michael T Smith · Mauricio Álvarez
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #174
Structured Variational Inference in Continuous Cox Process Models
In Probabilistic Methods -- Gaussian Processes
Virginia Aglietti · Edwin Bonilla · Theodoros Damoulas · Sally Cripps
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #175
Reconciling meta-learning and continual learning with online mixtures of tasks
In Probabilistic Methods -- Hierarchical Models
Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #176
Computational Separations between Sampling and Optimization
In Probabilistic Methods -- MCMC
Kunal Talwar
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #177
Estimating Convergence of Markov chains with L-Lag Couplings
In Probabilistic Methods -- MCMC
Niloy Biswas · Pierre E Jacob · Paul Vanetti
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #178
Exponential Family Estimation via Adversarial Dynamics Embedding
In Probabilistic Methods -- MCMC
Bo Dai · Zhen Liu · Hanjun Dai · Niao He · Arthur Gretton · Le Song · Dale Schuurmans
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #179
Gradient-based Adaptive Markov Chain Monte Carlo
In Probabilistic Methods -- MCMC
Michalis Titsias · Petros Dellaportas
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #180
On two ways to use determinantal point processes for Monte Carlo integration
In Probabilistic Methods -- MCMC
Guillaume Gautier · Rémi Bardenet · Michal Valko
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #181
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
In Probabilistic Methods -- MCMC
Santosh Vempala · Andre Wibisono
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #182
Sample Adaptive MCMC
In Probabilistic Methods -- MCMC
Michael Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #183
The Implicit Metropolis-Hastings Algorithm
In Probabilistic Methods -- MCMC
Kirill Neklyudov · Evgenii Egorov · Dmitry Vetrov
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #184
A New Distribution on the Simplex with Auto-Encoding Applications
In Probabilistic Methods -- Variational Inference
Andrew Stirn · Tony Jebara · David Knowles
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #185
Bayesian Layers: A Module for Neural Network Uncertainty
In Probabilistic Methods -- Variational Inference
Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #186
Streaming Bayesian Inference for Crowdsourced Classification
In Probabilistic Methods -- Variational Inference
Edoardo Manino · Long Tran-Thanh · Nicholas Jennings
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #187
Learning Hawkes Processes from a handful of events
In Probabilistic Methods -- Variational Inference
Farnood Salehi · William Trouleau · Matthias Grossglauser · Patrick Thiran
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #188
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
In Probabilistic Methods -- Variational Inference
Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #189
Provable Gradient Variance Guarantees for Black-Box Variational Inference
In Probabilistic Methods -- Variational Inference
Justin Domke
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #190
Semi-Implicit Graph Variational Auto-Encoders
In Probabilistic Methods -- Variational Inference
Arman Hasanzadeh · Ehsan Hajiramezanali · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #191
Sparse Variational Inference: Bayesian Coresets from Scratch
In Probabilistic Methods -- Variational Inference
Trevor Campbell · Boyan Beronov
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #192
Stein Variational Gradient Descent With Matrix-Valued Kernels
In Probabilistic Methods -- Variational Inference
Dilin Wang · Ziyang Tang · Chandrajit Bajaj · Qiang Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #193
Tensor Monte Carlo: Particle Methods for the GPU era
In Probabilistic Methods -- Variational Inference
Laurence Aitchison
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #194
The Thermodynamic Variational Objective
In Probabilistic Methods -- Variational Inference
Vaden Masrani · Tuan Anh Le · Frank Wood
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #195
Biases for Emergent Communication in Multi-agent Reinforcement Learning
In Reinforcement Learning and Planning -- Multi-Agent RL
Tom Eccles · Yoram Bachrach · Guy Lever · Angeliki Lazaridou · Thore Graepel
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #196
Ease-of-Teaching and Language Structure from Emergent Communication
In Reinforcement Learning and Planning -- Multi-Agent RL
Fushan Li · Michael Bowling
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #197
Finding Friend and Foe in Multi-Agent Games
In Reinforcement Learning and Planning -- Multi-Agent RL
Jack Serrino · Max Kleiman-Weiner · David Parkes · Josh Tenenbaum
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #198
Learning Fairness in Multi-Agent Systems
In Reinforcement Learning and Planning -- Multi-Agent RL
Jiechuan Jiang · Zongqing Lu
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #199
MAVEN: Multi-Agent Variational Exploration
In Reinforcement Learning and Planning -- Multi-Agent RL
Anuj Mahajan · Tabish Rashid · Mikayel Samvelyan · Shimon Whiteson
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #200
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
In Reinforcement Learning and Planning -- Multi-Agent RL
Shuyue Hu · Chin-wing Leung · Ho-fung Leung
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #201
Multi-Agent Common Knowledge Reinforcement Learning
In Reinforcement Learning and Planning -- Multi-Agent RL
Christian Schroeder de Witt · Jakob Foerster · Gregory Farquhar · Philip Torr · Wendelin Boehmer · Shimon Whiteson
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #202
Budgeted Reinforcement Learning in Continuous State Space
In Reinforcement Learning and Planning -- Reinforcement Learning
Nicolas Carrara · Edouard Leurent · Romain Laroche · Tanguy Urvoy · Odalric-Ambrym Maillard · Olivier Pietquin
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #203
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
In Reinforcement Learning and Planning -- Reinforcement Learning
Bin Hu · Usman Syed
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #204
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
In Reinforcement Learning and Planning -- Reinforcement Learning
Krzysztof M Choromanski · Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Vikas Sindhwani
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #205
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
In Reinforcement Learning and Planning -- Reinforcement Learning
Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #206
Learning from Trajectories via Subgoal Discovery
In Reinforcement Learning and Planning -- Reinforcement Learning
Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #207
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Gregory Farquhar · Shimon Whiteson · Jakob Foerster
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #208
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
In Reinforcement Learning and Planning -- Reinforcement Learning
Tengyang Xie · Yifei Ma · Yu-Xiang Wang
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #209
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
In Reinforcement Learning and Planning -- Reinforcement Learning
Lantao Yu · Tianhe Yu · Chelsea Finn · Stefano Ermon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #210
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
In Reinforcement Learning and Planning -- Reinforcement Learning
Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #211
Neural Temporal-Difference Learning Converges to Global Optima
In Reinforcement Learning and Planning -- Reinforcement Learning
Qi Cai · Zhuoran Yang · Jason Lee · Zhaoran Wang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #212
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
In Reinforcement Learning and Planning -- Reinforcement Learning
Zhuoran Yang · Yongxin Chen · Mingyi Hong · Zhaoran Wang
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #213
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Wenjie Shi · Shiji Song · Hui Wu · Ya-Chu Hsu · Cheng Wu · Gao Huang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #214
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
In Reinforcement Learning and Planning -- Reinforcement Learning
Aviral Kumar · Justin Fu · George Tucker · Sergey Levine
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #215
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
In Reinforcement Learning and Planning -- Reinforcement Learning
Minmin Chen · Ramki Gummadi · Chris Harris · Dale Schuurmans
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #216
Discovery of Useful Questions as Auxiliary Tasks
In Reinforcement Learning and Planning -- Reinforcement Learning
Vivek Veeriah · Matteo Hessel · Zhongwen Xu · Janarthanan Rajendran · Richard L Lewis · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #217
Efficient and Thrifty Voting by Any Means Necessary
In Theory -- Game Theory and Computational Economics
Debmalya Mandal · Ariel Procaccia · Nisarg Shah · David Woodruff
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #218
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
In Theory -- Game Theory and Computational Economics
Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #219
Learning to Correlate in Multi-Player General-Sum Sequential Games
In Theory -- Game Theory and Computational Economics
Andrea Celli · Alberto Marchesi · Tommaso Bianchi · Nicola Gatti
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #220
Multiagent Evaluation under Incomplete Information
In Theory -- Game Theory and Computational Economics
Mark Rowland · Shayegan Omidshafiei · Karl Tuyls · Julien Perolat · Michal Valko · Georgios Piliouras · Remi Munos
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #221
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
In Theory -- Game Theory and Computational Economics
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #222
Strategizing against No-regret Learners
In Theory -- Game Theory and Computational Economics
Yuan Deng · Jon Schneider · Balasubramanian Sivan
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #223
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
In Theory -- Large Deviations and Asymptotic Analysis
Rui (Ray) Zhang · Xingwu Liu · Yuyi Wang · Liwei Wang
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #224
Nonzero-sum Adversarial Hypothesis Testing Games
In Theory -- Large Deviations and Asymptotic Analysis
Sarath Yasodharan · Patrick Loiseau
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #225
An adaptive nearest neighbor rule for classification
In Theory -- Learning Theory
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #226
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
In Theory -- Learning Theory
Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #227
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
In Theory -- Learning Theory
Jun Yang · Shengyang Sun · Daniel Roy
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #228
Generalization Bounds for Neural Networks via Approximate Description Length
In Theory -- Learning Theory
Amit Daniely · Elad Granot
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #229
Graph-based Discriminators: Sample Complexity and Expressiveness
In Theory -- Learning Theory
Roi Livni · Yishay Mansour
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #230
Limitations of Lazy Training of Two-layers Neural Network
In Theory -- Learning Theory
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #231
On Making Stochastic Classifiers Deterministic
In Theory -- Learning Theory
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #232
Semi-Parametric Efficient Policy Learning with Continuous Actions
In Theory -- Learning Theory
Victor Chernozhukov · Mert Demirer · Greg Lewis · Vasilis Syrgkanis
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #233
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
In Theory -- Learning Theory
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #234
The Broad Optimality of Profile Maximum Likelihood
In Theory -- Learning Theory
Yi Hao · Alon Orlitsky
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #235
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
In Theory -- Learning Theory
Surbhi Goel · Sushrut Karmalkar · Adam Klivans
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #236
A Solvable High-Dimensional Model of GAN
In Theory -- Statistical Physics of Learning
Chuang Wang · Hong Hu · Yue Lu
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #237
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis
In Theory -- Statistical Physics of Learning
Yuki Yoshida · Masato Okada
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #238
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
In Theory -- Statistical Physics of Learning
Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #239
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
In Theory -- Statistical Physics of Learning
Thanh Huy Nguyen · Umut Simsekli · Mert Gurbuzbalaban · Gaël RICHARD
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #240
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
In Theory -- Statistical Physics of Learning
Ryo Karakida · Shotaro Akaho · Shun-ichi Amari
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #241
Untangling in Invariant Speech Recognition
In Theory -- Statistical Physics of Learning
Cory Stephenson · Jenelle Feather · Suchismita Padhy · Oguz Elibol · Hanlin Tang · Josh McDermott · SueYeon Chung
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #242
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
In Theory -- Statistical Physics of Learning
Greg Yang
[ Paper]  [ Slides] 
Invited Talk
Thu Dec 12 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Mapping Emotions: Discovering Structure in Mesoscale Electrical Brain Recordings
Kafui Dzirasa
Break
Thu Dec 12 09:20 AM -- 10:05 AM (PST) @ West and East
Coffee Break
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Variance Reduction for Matrix Games
In Track 2 Session 5
Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian
[ Paper]  [ Poster]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Optimizing Generalized Rate Metrics with Three Players
In Track 4 Session 5
Harikrishna Narasimhan · Andrew Cotter · Maya Gupta
[ Paper]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Exponentially convergent stochastic k-PCA without variance reduction
In Track 3 Session 5
Cheng Tang
[ Paper]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
In Track 1 Session 5
Jonas Kubilius · Martin Schrimpf · Ha Hong · Najib Majaj · Rishi Rajalingham · Elias Issa · Kohitij Kar · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
In Track 2 Session 5
Hadi Salman · Jerry Li · Ilya Razenshteyn · Pengchuan Zhang · Huan Zhang · Sebastien Bubeck · Greg Yang
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Modeling Conceptual Understanding in Image Reference Games
In Track 4 Session 5
Rodolfo Corona Rodriguez · Stephan Alaniz · Zeynep Akata
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Implicit Regularization in Deep Matrix Factorization
In Track 3 Session 5
Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
Learning Perceptual Inference by Contrasting
In Track 1 Session 5
Chi Zhang · Baoxiong Jia · Feng Gao · Yixin Zhu · HongJing Lu · Song-Chun Zhu
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
In Track 2 Session 5
Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze
[ Paper]  [ Slides] 
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
This Looks Like That: Deep Learning for Interpretable Image Recognition
In Track 4 Session 5
Chaofan Chen · Oscar Li · Daniel Tao · Alina Barnett · Cynthia Rudin · Jonathan K Su
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
SGD on Neural Networks Learns Functions of Increasing Complexity
In Track 3 Session 5
Dimitris Kalimeris · Gal Kaplun · Preetum Nakkiran · Benjamin Edelman · Tristan Yang · Boaz Barak · Haofeng Zhang
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Universality and individuality in neural dynamics across large populations of recurrent networks
In Track 1 Session 5
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Convergence of Adversarial Training in Overparametrized Neural Networks
In Track 2 Session 5
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Assessing Social and Intersectional Biases in Contextualized Word Representations
In Track 4 Session 5
Yi Chern Tan · L. Elisa Celis
[ Paper]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
When does label smoothing help?
In Track 3 Session 5
Rafael Müller · Simon Kornblith · Geoffrey E Hinton
[ Paper]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Better Transfer Learning with Inferred Successor Maps
In Track 1 Session 5
Tamas Madarasz · Tim Behrens
[ Paper]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Adversarial Training and Robustness for Multiple Perturbations
In Track 2 Session 5
Florian Tramer · Dan Boneh
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Paradoxes in Fair Machine Learning
In Track 4 Session 5
Paul Gölz · Anson Kahng · Ariel Procaccia
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Splitting Steepest Descent for Growing Neural Architectures
In Track 3 Session 5
Lemeng Wu · Dilin Wang · Qiang Liu
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
A unified theory for the origin of grid cells through the lens of pattern formation
In Track 1 Session 5
Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Zero-shot Knowledge Transfer via Adversarial Belief Matching
In Track 2 Session 5
Paul Micaelli · Amos Storkey
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Multi-Criteria Dimensionality Reduction with Applications to Fairness
In Track 4 Session 5
Uthaipon Tantipongpipat · Samira Samadi · Mohit Singh · Jamie Morgenstern · Santosh Vempala
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
Positional Normalization
In Track 3 Session 5
Boyi Li · Felix Wu · Kilian Weinberger · Serge Belongie
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Infra-slow brain dynamics as a marker for cognitive function and decline
In Track 1 Session 5
Shagun Ajmera · Shreya Rajagopal · Razi Rehman · Devarajan Sridharan
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
In Algorithms -- Active Learning
Andreas Kirsch · Joost van Amersfoort · Yarin Gal
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
Bayesian Batch Active Learning as Sparse Subset Approximation
In Algorithms -- Active Learning
Robert Pinsler · Jonathan Gordon · Eric Nalisnick · José Miguel Hernández-Lobato
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
Cost Effective Active Search
In Algorithms -- Active Learning
Shali Jiang · Roman Garnett · Benjamin Moseley
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Exact sampling of determinantal point processes with sublinear time preprocessing
In Algorithms -- Active Learning
Michal Derezinski · Daniele Calandriello · Michal Valko
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
Flattening a Hierarchical Clustering through Active Learning
In Algorithms -- Active Learning
Fabio Vitale · Anand Rajagopalan · Claudio Gentile
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
In Algorithms -- Active Learning
Weishi Shi · Qi Yu
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Learning Nearest Neighbor Graphs from Noisy Distance Samples
In Algorithms -- Active Learning
Blake Mason · Ardhendu Tripathy · Robert Nowak
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Machine Teaching of Active Sequential Learners
In Algorithms -- Active Learning
Tomi Peltola · Mustafa Mert Çelikok · Pedram Daee · Samuel Kaski
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
The Label Complexity of Active Learning from Observational Data
In Algorithms -- Active Learning
Songbai Yan · Kamalika Chaudhuri · Tara Javidi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #10
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
In Algorithms -- Adversarial Learning
Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze
[ Paper] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #11
Adversarial Robustness through Local Linearization
In Algorithms -- Adversarial Learning
Chongli Qin · James Martens · Sven Gowal · Dilip Krishnan · Krishnamurthy Dvijotham · Alhussein Fawzi · Soham De · Robert Stanforth · Pushmeet Kohli
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #12
Are Labels Required for Improving Adversarial Robustness?
In Algorithms -- Adversarial Learning
Jean-Baptiste Alayrac · Jonathan Uesato · Po-Sen Huang · Alhussein Fawzi · Robert Stanforth · Pushmeet Kohli
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
Certifying Geometric Robustness of Neural Networks
In Algorithms -- Adversarial Learning
Mislav Balunovic · Maximilian Baader · Gagandeep Singh · Timon Gehr · Martin Vechev
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
Cross-Domain Transferability of Adversarial Perturbations
In Algorithms -- Adversarial Learning
Muhammad Muzammal Naseer · Salman H Khan · Muhammad Haris Khan · Fahad Shahbaz Khan · Fatih Porikli
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Functional Adversarial Attacks
In Algorithms -- Adversarial Learning
Cassidy Laidlaw · Soheil Feizi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
Improving Black-box Adversarial Attacks with a Transfer-based Prior
In Algorithms -- Adversarial Learning
Shuyu Cheng · Yinpeng Dong · Tianyu Pang · Hang Su · Jun Zhu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
In Algorithms -- Adversarial Learning
Fanny Yang · Zuowen Wang · Christina Heinze-Deml
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
In Algorithms -- Adversarial Learning
Ji Feng · Qi-Zhi Cai · Zhi-Hua Zhou
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
On Robustness to Adversarial Examples and Polynomial Optimization
In Algorithms -- Adversarial Learning
Pranjal Awasthi · Abhratanu Dutta · Aravindan Vijayaraghavan
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #20
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator
In Algorithms -- Adversarial Learning
Arnak Dalalyan · Philip Thompson
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #21
Policy Poisoning in Batch Reinforcement Learning and Control
In Algorithms -- Adversarial Learning
Yuzhe Ma · Xuezhou Zhang · Wen Sun · Jerry Zhu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #22
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
In Algorithms -- Adversarial Learning
Matt Jordan · Justin Lewis · Alex Dimakis
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #23
Provably robust boosted decision stumps and trees against adversarial attacks
In Algorithms -- Adversarial Learning
Maksym Andriushchenko · Matthias Hein
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #24
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
In Algorithms -- Adversarial Learning
Hadi Salman · Jerry Li · Ilya Razenshteyn · Pengchuan Zhang · Huan Zhang · Sebastien Bubeck · Greg Yang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #25
Robust Attribution Regularization
In Algorithms -- Adversarial Learning
Jiefeng Chen · Xi Wu · Vaibhav Rastogi · Yingyu Liang · Somesh Jha
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #26
Robustness Verification of Tree-based Models
In Algorithms -- Adversarial Learning
Hongge Chen · Huan Zhang · Si Si · Yang Li · Duane Boning · Cho-Jui Hsieh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #27
Efficient Forward Architecture Search
In Algorithms -- AutoML
Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric Horvitz · Debadeepta Dey
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #28
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection
In Algorithms -- AutoML
Junran Peng · Ming Sun · ZHAO-XIANG ZHANG · Tieniu Tan · Junjie Yan
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #29
Hyperparameter Learning via Distributional Transfer
In Algorithms -- AutoML
Ho Chung Law · Peilin Zhao · Leung Sing Chan · Junzhou Huang · Dino Sejdinovic
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #30
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
In Algorithms -- AutoML
Valerio Perrone · Huibin Shen · Matthias Seeger · Cedric Archambeau · Rodolphe Jenatton
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #31
Meta Architecture Search
In Algorithms -- AutoML
Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #32
Multi-objective Bayesian optimisation with preferences over objectives
In Algorithms -- AutoML
Majid Abdolshah · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #33
Practical Two-Step Lookahead Bayesian Optimization
In Algorithms -- AutoML
Jian Wu · Peter Frazier
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #34
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
In Algorithms -- AutoML
Robert Kleinberg · Kevin Leyton-Brown · Brendan Lucier · Devon Graham
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Splitting Steepest Descent for Growing Neural Architectures
In Algorithms -- AutoML
Lemeng Wu · Dilin Wang · Qiang Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Towards modular and programmable architecture search
In Algorithms -- AutoML
Renato Negrinho · Matthew Gormley · Geoffrey Gordon · Darshan Patil · Nghia Le · Daniel Ferreira
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
A New Perspective on Pool-Based Active Classification and False-Discovery Control
In Algorithms -- Bandit Algorithms
Lalit Jain · Kevin Jamieson
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Bootstrapping Upper Confidence Bound
In Algorithms -- Bandit Algorithms
Botao Hao · Yasin Abbasi Yadkori · Zheng Wen · Guang Cheng
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Categorized Bandits
In Algorithms -- Bandit Algorithms
Matthieu Jedor · Vianney Perchet · Jonathan Louedec
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
In Algorithms -- Bandit Algorithms
Arun Verma · Manjesh Kumar Hanawal · Arun Rajkumar · Raman Sankaran
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Contextual Bandits with Cross-Learning
In Algorithms -- Bandit Algorithms
Santiago Balseiro · Negin Golrezaei · Mohammad Mahdian · Vahab Mirrokni · Jon Schneider
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
In Algorithms -- Bandit Algorithms
Anmol Kagrecha · Jayakrishnan Nair · Krishna Jagannathan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
In Algorithms -- Bandit Algorithms
Negin Golrezaei · Adel Javanmard · Vahab Mirrokni
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Stochastic Bandits with Context Distributions
In Algorithms -- Bandit Algorithms
Johannes Kirschner · Andreas Krause
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Thompson Sampling and Approximate Inference
In Algorithms -- Bandit Algorithms
My Phan · Yasin Abbasi Yadkori · Justin Domke
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Thompson Sampling for Multinomial Logit Contextual Bandits
In Algorithms -- Bandit Algorithms
Min-hwan Oh · Garud Iyengar
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
Thompson Sampling with Information Relaxation Penalties
In Algorithms -- Bandit Algorithms
Seungki Min · Costis Maglaras · Ciamac C Moallemi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Data Cleansing for Models Trained with SGD
In Algorithms -- Classification
Satoshi Hara · Atsushi Nitanda · Takanori Maehara
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
In Algorithms -- Classification
Yilun Xu · Peng Cao · Yuqing Kong · Yizhou Wang
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
Copula Multi-label Learning
In Algorithms -- Classification
Weiwei Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Optimizing Generalized Rate Metrics with Three Players
In Algorithms -- Classification
Harikrishna Narasimhan · Andrew Cotter · Maya Gupta
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
Better Transfer Learning with Inferred Successor Maps
In Algorithms -- Multitask and Transfer Learning
Tamas Madarasz · Tim Behrens
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Compacting, Picking and Growing for Unforgetting Continual Learning
In Algorithms -- Multitask and Transfer Learning
Ching-Yi Hung · Cheng-Hao Tu · Cheng-En Wu · Chien-Hung Chen · Yi-Ming Chan · Chu-Song Chen
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
In Algorithms -- Multitask and Transfer Learning
Stephan Rabanser · Stephan Günnemann · Zachary Lipton
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #55
Generalization in multitask deep neural classifiers: a statistical physics approach
In Algorithms -- Multitask and Transfer Learning
Anthony Ndirango · Tyler Lee
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #56
Hierarchical Optimal Transport for Multimodal Distribution Alignment
In Algorithms -- Multitask and Transfer Learning
John Lee · Max Dabagia · Eva Dyer · Christopher Rozell
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #57
Learning Robust Global Representations by Penalizing Local Predictive Power
In Algorithms -- Multitask and Transfer Learning
Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #58
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
In Algorithms -- Multitask and Transfer Learning
Elliot Meyerson · Risto Miikkulainen
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #59
Online Continual Learning with Maximal Interfered Retrieval
In Algorithms -- Multitask and Transfer Learning
Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #60
Pareto Multi-Task Learning
In Algorithms -- Multitask and Transfer Learning
Xi Lin · Hui-Ling Zhen · Zhenhua Li · Qing-Fu Zhang · Sam Kwong
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #61
Transfer Learning via Minimizing the Performance Gap Between Domains
In Algorithms -- Multitask and Transfer Learning
Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
Large Scale Adversarial Representation Learning
In Algorithms -- Representation Learning
Jeff Donahue · Karen Simonyan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
In Algorithms -- Representation Learning
Difan Zou · Ziniu Hu · Yewen Wang · Song Jiang · Yizhou Sun · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
Learning elementary structures for 3D shape generation and matching
In Algorithms -- Representation Learning
Theo Deprelle · Thibault Groueix · Matthew Fisher · Vladimir Kim · Bryan Russell · Mathieu Aubry
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Learning from brains how to regularize machines
In Algorithms -- Representation Learning
Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Xaq Pitkow · Andreas Tolias
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Rethinking Kernel Methods for Node Representation Learning on Graphs
In Algorithms -- Representation Learning
Yu Tian · Long Zhao · Xi Peng · Dimitris Metaxas
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
In Algorithms -- Representation Learning
Vincent Chen · Sen Wu · Alexander Ratner · Jen Weng · Christopher Ré
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
In Algorithms -- Representation Learning
Chengguang Xu · Ehsan Elhamifar
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
In Algorithms -- Representation Learning
Alban Laflaquière · Michael Garcia Ortiz
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Unsupervised State Representation Learning in Atari
In Algorithms -- Representation Learning
Ankesh Anand · Evan Racah · Sherjil Ozair · Yoshua Bengio · Marc-Alexandre Côté · R Devon Hjelm
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
What the Vec? Towards Probabilistically Grounded Embeddings
In Algorithms -- Representation Learning
Carl Allen · Ivana Balazevic · Timothy Hospedales
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #72
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
In Applications -- Fairness, Accountability, and Transparency
Nathan Kallus · Angela Zhou
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #73
Assessing Social and Intersectional Biases in Contextualized Word Representations
In Applications -- Fairness, Accountability, and Transparency
Yi Chern Tan · L. Elisa Celis
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #74
Balancing Efficiency and Fairness in On-Demand Ridesourcing
In Applications -- Fairness, Accountability, and Transparency
Nixie Lesmana · Xuan Zhang · Xiaohui Bei
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #75
Characterizing Bias in Classifiers using Generative Models
In Applications -- Fairness, Accountability, and Transparency
Daniel McDuff · Shuang Ma · Yale Song · Ashish Kapoor
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #76
Demystifying Black-box Models with Symbolic Metamodels
In Applications -- Fairness, Accountability, and Transparency
Ahmed Alaa · Mihaela van der Schaar
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #77
Envy-Free Classification
In Applications -- Fairness, Accountability, and Transparency
Maria-Florina Balcan · Travis Dick · Ritesh Noothigattu · Ariel Procaccia
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #78
Fair Algorithms for Clustering
In Applications -- Fairness, Accountability, and Transparency
Suman Bera · Deeparnab Chakrabarty · Nicolas Flores · Maryam Negahbani
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #79
Modeling Conceptual Understanding in Image Reference Games
In Applications -- Fairness, Accountability, and Transparency
Rodolfo Corona Rodriguez · Stephan Alaniz · Zeynep Akata
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #80
Multi-Criteria Dimensionality Reduction with Applications to Fairness
In Applications -- Fairness, Accountability, and Transparency
Uthaipon Tantipongpipat · Samira Samadi · Mohit Singh · Jamie Morgenstern · Santosh Vempala
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #81
Noise-tolerant fair classification
In Applications -- Fairness, Accountability, and Transparency
Alex Lamy · Ziyuan Zhong · Aditya Menon · Nakul Verma
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #82
On the Accuracy of Influence Functions for Measuring Group Effects
In Applications -- Fairness, Accountability, and Transparency
Pang Wei Koh · Kai-Siang Ang · Hubert Teo · Percy Liang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #83
Paradoxes in Fair Machine Learning
In Applications -- Fairness, Accountability, and Transparency
Paul Gölz · Anson Kahng · Ariel Procaccia
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #84
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
In Applications -- Fairness, Accountability, and Transparency
Yongkai Wu · Lu Zhang · Xintao Wu · Hanghang Tong
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
This Looks Like That: Deep Learning for Interpretable Image Recognition
In Applications -- Fairness, Accountability, and Transparency
Chaofan Chen · Oscar Li · Daniel Tao · Alina Barnett · Cynthia Rudin · Jonathan K Su
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Towards Automatic Concept-based Explanations
In Applications -- Fairness, Accountability, and Transparency
Amirata Ghorbani · James Wexler · James Zou · Been Kim
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Adversarial Training and Robustness for Multiple Perturbations
In Applications -- Privacy, Anonymity, and Security
Florian Tramer · Dan Boneh
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
In Applications -- Privacy, Anonymity, and Security
Yaqin Zhou · Shangqing Liu · Jingkai Siow · Xiaoning Du · Yang Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
Differentially Private Distributed Data Summarization under Covariate Shift
In Applications -- Privacy, Anonymity, and Security
Kanthi Sarpatwar · Karthikeyan Shanmugam · Venkata Sitaramagiridharganesh Ganapavarapu · Ashish Jagmohan · Roman Vaculin
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Private Hypothesis Selection
In Applications -- Privacy, Anonymity, and Security
Mark Bun · Gautam Kamath · Thomas Steinke · Steven Wu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Facility Location Problem in Differential Privacy Model Revisited
In Applications -- Privacy, Anonymity, and Security
Yunus Esencayi · Marco Gaboardi · Shi Li · Di Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
KNG: The K-Norm Gradient Mechanism
In Applications -- Privacy, Anonymity, and Security
Matthew Reimherr · Jordan Awan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
Locally Private Learning without Interaction Requires Separation
In Applications -- Privacy, Anonymity, and Security
Amit Daniely · Vitaly Feldman
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Lower Bounds on Adversarial Robustness from Optimal Transport
In Applications -- Privacy, Anonymity, and Security
Arjun Nitin Bhagoji · Daniel Cullina · Prateek Mittal
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
On Differentially Private Graph Sparsification and Applications
In Applications -- Privacy, Anonymity, and Security
Raman Arora · Jalaj Upadhyay
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
In Applications -- Privacy, Anonymity, and Security
Baoxiang Wang · Nidhi Hegde
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #97
REM: From Structural Entropy to Community Structure Deception
In Applications -- Privacy, Anonymity, and Security
Yiwei Liu · Jiamou Liu · Zijian Zhang · Liehuang Zhu · Angsheng Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #98
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
In Applications -- Privacy, Anonymity, and Security
Lixin Fan · Kam Woh Ng · Chee Seng Chan
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #99
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
In Applications -- Privacy, Anonymity, and Security
Qian Lou · Lei Jiang
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #100
Theoretical evidence for adversarial robustness through randomization
In Applications -- Privacy, Anonymity, and Security
Rafael Pinot · Laurent Meunier · Alexandre Araujo · Hisashi Kashima · Florian Yger · Cedric Gouy-Pailler · Jamal Atif
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #101
Cross-sectional Learning of Extremal Dependence among Financial Assets
In Applications -- Quantitative Finance and Econometrics
Xing Yan · Qi Wu · Wen Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #102
Diffeomorphic Temporal Alignment Nets
In Applications -- Time Series Analysis
Ron A Shapira Weber · Matan Eyal · Nicki Skafte · Oren Shriki · Oren Freifeld
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #103
DTWNet: a Dynamic Time Warping Network
In Applications -- Time Series Analysis
Xingyu Cai · Tingyang Xu · Jinfeng Yi · Junzhou Huang · Sanguthevar Rajasekaran
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #104
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
In Applications -- Time Series Analysis
Shiyang Li · Xiaoyong Jin · Yao Xuan · Xiyou Zhou · Wenhu Chen · Yu-Xiang Wang · Xifeng Yan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #105
Fully Neural Network based Model for General Temporal Point Processes
In Applications -- Time Series Analysis
Takahiro Omi · naonori ueda · Kazuyuki Aihara
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #106
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
In Applications -- Time Series Analysis
Edward De Brouwer · Jaak Simm · Adam Arany · Yves Moreau
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #107
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
In Applications -- Time Series Analysis
David Salinas · Michael Bohlke-Schneider · Laurent Callot · Roberto Medico · Jan Gasthaus
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #108
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
In Applications -- Time Series Analysis
Qitian Wu · Zixuan Zhang · Xiaofeng Gao · Junchi Yan · Guihai Chen
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #109
Learning Representations for Time Series Clustering
In Applications -- Time Series Analysis
Qianli Ma · Jiawei Zheng · Sen Li · Gary Cottrell
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #110
Multi-Resolution Weak Supervision for Sequential Data
In Applications -- Time Series Analysis
Paroma Varma · Frederic Sala · Shiori Sagawa · Jason A Fries · Dan Fu · Saelig Khattar · Ashwini Ramamoorthy · Ke Xiao · Kayvon Fatahalian · James Priest · Christopher Ré
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #111
Neural Jump Stochastic Differential Equations
In Applications -- Time Series Analysis
Junteng Jia · Austin Benson
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #112
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
In Applications -- Time Series Analysis
Vincent LE GUEN · Nicolas THOME
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #113
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
In Applications -- Time Series Analysis
Rajat Sen · Hsiang-Fu Yu · Inderjit Dhillon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #114
Unsupervised Scalable Representation Learning for Multivariate Time Series
In Applications -- Time Series Analysis
Jean-Yves Franceschi · Aymeric Dieuleveut · Martin Jaggi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #115
Convergence of Adversarial Training in Overparametrized Neural Networks
In Deep Learning -- Adversarial Networks
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #116
Discriminator optimal transport
In Deep Learning -- Adversarial Networks
Akinori Tanaka
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #117
Learning from Label Proportions with Generative Adversarial Networks
In Deep Learning -- Adversarial Networks
Jiabin Liu · Bo Wang · Zhiquan Qi · YingJie Tian · Yong Shi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #118
Learning GANs and Ensembles Using Discrepancy
In Deep Learning -- Adversarial Networks
Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #119
MarginGAN: Adversarial Training in Semi-Supervised Learning
In Deep Learning -- Adversarial Networks
Jinhao Dong · Tong Lin
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #120
Modeling Tabular data using Conditional GAN
In Deep Learning -- Adversarial Networks
Lei Xu · Maria Skoularidou · Alfredo Cuesta-Infante · Kalyan Veeramachaneni
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #121
Beyond the Single Neuron Convex Barrier for Neural Network Certification
In Deep Learning -- Adversarial Networks
Gagandeep Singh · Rupanshu Ganvir · Markus Püschel · Martin Vechev
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #122
Quality Aware Generative Adversarial Networks
In Deep Learning -- Adversarial Networks
Kancharla Parimala · Sumohana Channappayya
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #123
Random deep neural networks are biased towards simple functions
In Deep Learning -- Adversarial Networks
Giacomo De Palma · Bobak Kiani · Seth Lloyd
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #124
Reducing Noise in GAN Training with Variance Reduced Extragradient
In Deep Learning -- Adversarial Networks
Tatjana Chavdarova · Gauthier Gidel · François Fleuret · Simon Lacoste-Julien
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #125
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
In Deep Learning -- Adversarial Networks
Ngoc-Trung Tran · Viet-Hung Tran · Bao-Ngoc Nguyen · Linxiao Yang · Ngai-Man (Man) Cheung
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #126
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
In Deep Learning -- Adversarial Networks
Vladimir V. Kniaz · Vladimir Knyaz · Fabio Remondino
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #127
Training Language GANs from Scratch
In Deep Learning -- Adversarial Networks
Cyprien de Masson d'Autume · Shakir Mohamed · Mihaela Rosca · Jack Rae
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #128
Zero-shot Knowledge Transfer via Adversarial Belief Matching
In Deep Learning -- Adversarial Networks
Paul Micaelli · Amos Storkey
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #129
A General Theory of Equivariant CNNs on Homogeneous Spaces
In Deep Learning -- CNN Architectures
Taco Cohen · Mario Geiger · Maurice Weiler
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #130
Abstraction based Output Range Analysis for Neural Networks
In Deep Learning -- CNN Architectures
Pavithra Prabhakar · Zahra Rahimi Afzal
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #131
ANODEV2: A Coupled Neural ODE Framework
In Deep Learning -- CNN Architectures
Tianjun Zhang · Zhewei Yao · Amir Gholami · Joseph Gonzalez · Kurt Keutzer · Michael Mahoney · George Biros
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #132
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
In Deep Learning -- CNN Architectures
Hao Zheng · Faming Fang · Guixu Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #133
CNN^{2}: Viewpoint Generalization via a Binocular Vision
In Deep Learning -- CNN Architectures
Wei-Da Chen · Shan-Hung (Brandon) Wu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #134
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
In Deep Learning -- CNN Architectures
Brandon Yang · Gabriel Bender · Quoc V Le · Jiquan Ngiam
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #135
Convolution with even-sized kernels and symmetric padding
In Deep Learning -- CNN Architectures
Shuang Wu · Guanrui Wang · Pei Tang · Feng Chen · Luping Shi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #136
Deep Active Learning with a Neural Architecture Search
In Deep Learning -- CNN Architectures
Yonatan Geifman · Ran El-Yaniv
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #137
Deep Scale-spaces: Equivariance Over Scale
In Deep Learning -- CNN Architectures
Daniel Worrall · Max Welling
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #138
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
In Deep Learning -- CNN Architectures
W. O. K. Asiri Suranga Wijesinghe · Qing Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #139
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
In Deep Learning -- CNN Architectures
Kohei Hayashi · Taiki Yamaguchi · Yohei Sugawara · Shin-ichi Maeda
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #140
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
In Deep Learning -- CNN Architectures
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #141
Fixing the train-test resolution discrepancy
In Deep Learning -- CNN Architectures
Hugo Touvron · Andrea Vedaldi · Matthijs Douze · Herve Jegou
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #142
Gaussian-Based Pooling for Convolutional Neural Networks
In Deep Learning -- CNN Architectures
Takumi Kobayashi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #143
General E(2)-Equivariant Steerable CNNs
In Deep Learning -- CNN Architectures
Maurice Weiler · Gabriele Cesa
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #144
Learning Stable Deep Dynamics Models
In Deep Learning -- CNN Architectures
J. Zico Kolter · Gaurav Manek
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #145
Neural Similarity Learning
In Deep Learning -- CNN Architectures
Weiyang Liu · Zhen Liu · James Rehg · Le Song
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #146
Cross-channel Communication Networks
In Deep Learning -- CNN Architectures
Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #147
Positional Normalization
In Deep Learning -- CNN Architectures
Boyi Li · Felix Wu · Kilian Weinberger · Serge Belongie
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #148
Powerset Convolutional Neural Networks
In Deep Learning -- CNN Architectures
Chris Wendler · Markus Püschel · Dan Alistarh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
In Deep Learning -- CNN Architectures
Qiyang Li · Saminul Haque · Cem Anil · James Lucas · Roger Grosse · Joern-Henrik Jacobsen
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #150
Self-Routing Capsule Networks
In Deep Learning -- CNN Architectures
Taeyoung Hahn · Myeongjang Pyeon · Gunhee Kim
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #151
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
In Deep Learning -- CNN Architectures
Sawyer Birnbaum · Volodymyr Kuleshov · Zayd Enam · Pang Wei Koh · Stefano Ermon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #152
A Fourier Perspective on Model Robustness in Computer Vision
In Deep Learning -- Efficient Training Methods
Dong Yin · Raphael Gontijo Lopes · Jonathon Shlens · Ekin Dogus Cubuk · Justin Gilmer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #153
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
In Deep Learning -- Efficient Training Methods
Mitsuru Kusumoto · Takuya Inoue · Gentaro Watanabe · Takuya Akiba · Masanori Koyama
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #154
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
In Deep Learning -- Efficient Training Methods
Yaniv Blumenfeld · Dar Gilboa · Daniel Soudry
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #155
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
In Deep Learning -- Efficient Training Methods
Jiong Zhang · Hsiang-Fu Yu · Inderjit Dhillon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #156
Backprop with Approximate Activations for Memory-efficient Network Training
In Deep Learning -- Efficient Training Methods
Ayan Chakrabarti · Benjamin Moseley
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #157
Bridging Machine Learning and Logical Reasoning by Abductive Learning
In Deep Learning -- Efficient Training Methods
Wang-Zhou Dai · Qiuling Xu · Yang Yu · Zhi-Hua Zhou
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #158
E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
In Deep Learning -- Efficient Training Methods
Ziyu Jiang · Yue Wang · Xiaohan Chen · Pengfei Xu · Yang Zhao · Yingyan Lin · Zhangyang Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #159
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
In Deep Learning -- Efficient Training Methods
Xiao Sun · Jungwook Choi · Chia-Yu Chen · Naigang Wang · Swagath Venkataramani · Vijayalakshmi (Viji) Srinivasan · Xiaodong Cui · Wei Zhang · Kailash Gopalakrishnan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #160
Initialization of ReLUs for Dynamical Isometry
In Deep Learning -- Efficient Training Methods
Rebekka Burkholz · Alina Dubatovka
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #161
Invert to Learn to Invert
In Deep Learning -- Efficient Training Methods
Patrick Putzky · Max Welling
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #162
Learning Data Manipulation for Augmentation and Weighting
In Deep Learning -- Efficient Training Methods
Zhiting Hu · Bowen Tan · Russ Salakhutdinov · Tom Mitchell · Eric Xing
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #163
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
In Deep Learning -- Efficient Training Methods
Ehsan Amid · Manfred K. Warmuth · Rohan Anil · Tomer Koren
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #164
When does label smoothing help?
In Deep Learning -- Efficient Training Methods
Rafael Müller · Simon Kornblith · Geoffrey E Hinton
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #165
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
In Deep Learning -- Optimization for Deep Networks
Rohith Kuditipudi · Xiang Wang · Holden Lee · Yi Zhang · Zhiyuan Li · Wei Hu · Rong Ge · Sanjeev Arora
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #166
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
In Deep Learning -- Optimization for Deep Networks
Yunfei Teng · Wenbo Gao · François Chalus · Anna Choromanska · Donald Goldfarb · Adrian Weller
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #167
Learning Neural Networks with Adaptive Regularization
In Deep Learning -- Optimization for Deep Networks
Han Zhao · Yao-Hung Hubert Tsai · Russ Salakhutdinov · Geoffrey Gordon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #168
Memory Efficient Adaptive Optimization
In Deep Learning -- Optimization for Deep Networks
Rohan Anil · Vineet Gupta · Tomer Koren · Yoram Singer
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #169
On the Convergence Rate of Training Recurrent Neural Networks
In Deep Learning -- Optimization for Deep Networks
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #170
SGD on Neural Networks Learns Functions of Increasing Complexity
In Deep Learning -- Optimization for Deep Networks
Dimitris Kalimeris · Gal Kaplun · Preetum Nakkiran · Benjamin Edelman · Tristan Yang · Boaz Barak · Haofeng Zhang
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #171
Towards Understanding the Importance of Shortcut Connections in Residual Networks
In Deep Learning -- Optimization for Deep Networks
Tianyi Liu · Minshuo Chen · Mo Zhou · Simon Du · Enlu Zhou · Tuo Zhao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #172
Trivializations for Gradient-Based Optimization on Manifolds
In Deep Learning -- Optimization for Deep Networks
Mario Lezcano Casado
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #173
Using Statistics to Automate Stochastic Optimization
In Deep Learning -- Optimization for Deep Networks
Hunter Lang · Lin Xiao · Pengchuan Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #174
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
In Deep Learning -- Optimization for Deep Networks
Guodong Zhang · Lala Li · Zachary Nado · James Martens · Sushant Sachdeva · George Dahl · Chris Shallue · Roger Grosse
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #175
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
In Deep Learning -- Optimization for Deep Networks
Jaehoon Lee · Lechao Xiao · Samuel Schoenholz · Yasaman Bahri · Roman Novak · Jascha Sohl-Dickstein · Jeffrey Pennington
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #176
A Bayesian Theory of Conformity in Collective Decision Making
In Neuroscience and Cognitive Science -- Cognitive Science
Koosha Khalvati · Saghar Mirbagheri · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #177
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
In Neuroscience and Cognitive Science -- Cognitive Science
Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #178
Compositional generalization through meta sequence-to-sequence learning
In Neuroscience and Cognitive Science -- Cognitive Science
Brenden Lake
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #179
Universality and individuality in neural dynamics across large populations of recurrent networks
In Neuroscience and Cognitive Science -- Cognitive Science
Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #180
A neurally plausible model for online recognition and postdiction in a dynamical environment
In Neuroscience and Cognitive Science -- Neural Coding
Li Kevin Wenliang · Maneesh Sahani
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #181
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
In Neuroscience and Cognitive Science -- Neural Coding
Wenhao Zhang · Si Wu · Brent Doiron · Tai Sing Lee
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #182
A unified theory for the origin of grid cells through the lens of pattern formation
In Neuroscience and Cognitive Science -- Neural Coding
Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #183
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
In Neuroscience and Cognitive Science -- Neural Coding
Cornelius Schröder · Ben James · Leon Lagnado · Philipp Berens
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #184
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
In Neuroscience and Cognitive Science -- Neural Coding
Rishidev Chaudhuri · Ila Fiete
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #185
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Organization of Mouse Visual Cortex
In Neuroscience and Cognitive Science -- Neural Coding
Jianghong Shi · Eric Shea-Brown · Michael Buice
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #186
Flexible information routing in neural populations through stochastic comodulation
In Neuroscience and Cognitive Science -- Neural Coding
Caroline Haimerl · Cristina Savin · Eero Simoncelli
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #187
Nonlinear scaling of resource allocation in sensory bottlenecks
In Neuroscience and Cognitive Science -- Neural Coding
Laura R Edmondson · Alejandro Jimenez Rodriguez · Hannes P. Saal
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #188
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
In Neuroscience and Cognitive Science -- Neuroscience
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #189
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
In Neuroscience and Cognitive Science -- Neuroscience
Eleanor Batty · Matthew Whiteway · Shreya Saxena · Dan Biderman · Taiga Abe · Simon Musall · Winthrop Gillis · Jeffrey Markowitz · Anne Churchland · John Cunningham · Sandeep R Datta · Scott Linderman · Liam Paninski
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #190
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
In Neuroscience and Cognitive Science -- Neuroscience
Jonas Kubilius · Martin Schrimpf · Kohitij Kar · Rishi Rajalingham · Ha Hong · Najib Majaj · Elias Issa · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #191
Infra-slow brain dynamics as a marker for cognitive function and decline
In Neuroscience and Cognitive Science -- Neuroscience
Shagun Ajmera · Shreya Rajagopal · Razi Rehman · Devarajan Sridharan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #192
Abstract Reasoning with Distracting Features
In Neuroscience and Cognitive Science -- Reasoning
Kecheng Zheng · Zheng-Jun Zha · Wei Wei
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #193
Learning Perceptual Inference by Contrasting
In Neuroscience and Cognitive Science -- Reasoning
Chi Zhang · Baoxiong Jia · Feng Gao · Yixin Zhu · HongJing Lu · Song-Chun Zhu
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #194
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
In Optimization -- Non-Convex Optimization
Zhihui Zhu · Tianyu Ding · Daniel Robinson · Manolis Tsakiris · René Vidal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #195
Competitive Gradient Descent
In Optimization -- Non-Convex Optimization
Florian Schaefer · Anima Anandkumar
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #196
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
In Optimization -- Non-Convex Optimization
Rixon Crane · Fred Roosta
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #197
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
In Optimization -- Non-Convex Optimization
Wenqing Hu · Chris Junchi Li · Xiangru Lian · Ji Liu · Angela Yuan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #198
Efficiently avoiding saddle points with zero order methods: No gradients required
In Optimization -- Non-Convex Optimization
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #199
Escaping from saddle points on Riemannian manifolds
In Optimization -- Non-Convex Optimization
Yue Sun · Nicolas Flammarion · Maryam Fazel
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #200
Exponentially convergent stochastic k-PCA without variance reduction
In Optimization -- Non-Convex Optimization
Cheng Tang
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #201
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
In Optimization -- Non-Convex Optimization
Ioannis Panageas · Georgios Piliouras · Xiao Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #202
Learning Sparse Distributions using Iterative Hard Thresholding
In Optimization -- Non-Convex Optimization
Jacky Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #203
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
In Optimization -- Non-Convex Optimization
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #204
Max-value Entropy Search for Multi-Objective Bayesian Optimization
In Optimization -- Non-Convex Optimization
Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #205
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
In Optimization -- Non-Convex Optimization
Maher Nouiehed · Maziar Sanjabi · Tianjian Huang · Jason Lee · Meisam Razaviyayn
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #206
Alleviating Label Switching with Optimal Transport
In Optimization -- Stochastic Optimization
Pierre Monteiller · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin Solomon · Mikhail Yurochkin
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #207
Beating SGD Saturation with Tail-Averaging and Minibatching
In Optimization -- Stochastic Optimization
Nicole Muecke · Gergely Neu · Lorenzo Rosasco
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #208
Continuous-time Models for Stochastic Optimization Algorithms
In Optimization -- Stochastic Optimization
Antonio Orvieto · Aurelien Lucchi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #209
Distributed estimation of the inverse Hessian by determinantal averaging
In Optimization -- Stochastic Optimization
Michal Derezinski · Michael Mahoney
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #210
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
In Optimization -- Stochastic Optimization
Rong Ge · Sham Kakade · Rahul Kidambi · Praneeth Netrapalli
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #211
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
In Optimization -- Stochastic Optimization
Pooria Joulani · András György · Csaba Szepesvari
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #212
Variance Reduction for Matrix Games
In Optimization -- Stochastic Optimization
Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #213
Control What You Can: Intrinsically Motivated Task-Planning Agent
In Reinforcement Learning and Planning -- Planning
Sebastian Blaes · Marin Vlastelica Pogančić · Jiajie Zhu · Georg Martius
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #214
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
In Reinforcement Learning and Planning -- Planning
Akihiro Kishimoto · Beat Buesser · Bei Chen · Adi Botea
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #215
Maximum Entropy Monte-Carlo Planning
In Reinforcement Learning and Planning -- Planning
Chenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #216
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
In Reinforcement Learning and Planning -- Planning
Erwan Lecarpentier · Emmanuel Rachelson
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #217
Planning in entropy-regularized Markov decision processes and games
In Reinforcement Learning and Planning -- Planning
Jean-Bastien Grill · Omar Darwiche Domingues · Pierre Menard · Remi Munos · Michal Valko
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #218
Planning with Goal-Conditioned Policies
In Reinforcement Learning and Planning -- Planning
Soroush Nasiriany · Vitchyr Pong · Steven Lin · Sergey Levine
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Regression Planning Networks
In Reinforcement Learning and Planning -- Planning
Danfei Xu · Roberto Martín-Martín · De-An Huang · Yuke Zhu · Silvio Savarese · Li Fei-Fei
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
In Reinforcement Learning and Planning -- Planning
Benjamin Eysenbach · Russ Salakhutdinov · Sergey Levine
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
A Composable Specification Language for Reinforcement Learning Tasks
In Reinforcement Learning and Planning -- Reinforcement Learning
Kishor Jothimurugan · Rajeev Alur · Osbert Bastani
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
In Reinforcement Learning and Planning -- Reinforcement Learning
Runzhe Yang · Xingyuan Sun · Karthik Narasimhan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
A Kernel Loss for Solving the Bellman Equation
In Reinforcement Learning and Planning -- Reinforcement Learning
Yihao Feng · Lihong Li · Qiang Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
In Reinforcement Learning and Planning -- Reinforcement Learning
Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
Curriculum-guided Hindsight Experience Replay
In Reinforcement Learning and Planning -- Reinforcement Learning
Meng Fang · Tianyi Zhou · Yali Du · Lei Han · Zhengyou Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Distributional Policy Optimization: An Alternative Approach for Continuous Control
In Reinforcement Learning and Planning -- Reinforcement Learning
Chen Tessler · Guy Tennenholtz · Shie Mannor
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
In Reinforcement Learning and Planning -- Reinforcement Learning
Samuel Ainsworth · Matt Barnes · Siddhartha Srinivasa
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
In Reinforcement Learning and Planning -- Reinforcement Learning
Maximilian Igl · Kamil Ciosek · Yingzhen Li · Sebastian Tschiatschek · Cheng Zhang · Sam Devlin · Katja Hofmann
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Goal-conditioned Imitation Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Yiming Ding · Carlos Florensa · Pieter Abbeel · Mariano Phielipp
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #230
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Mahmoud Assran · Joshua Romoff · Nicolas Ballas · Joelle Pineau · Mike Rabbat
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #231
Imitation-Projected Programmatic Reinforcement Learning
In Reinforcement Learning and Planning -- Reinforcement Learning
Abhinav Verma · Hoang Le · Yisong Yue · Swarat Chaudhuri
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #232
Reinforcement Learning with Convex Constraints
In Reinforcement Learning and Planning -- Reinforcement Learning
Sobhan Miryoosefi · Kianté Brantley · Hal Daumé III · Miro Dudik · Robert Schapire
[ Paper] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #233
RUDDER: Return Decomposition for Delayed Rewards
In Reinforcement Learning and Planning -- Reinforcement Learning
Jose A. Arjona-Medina · Michael Gillhofer · Michael Widrich · Thomas Unterthiner · Johannes Brandstetter · Sepp Hochreiter
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #234
Shaping Belief States with Generative Environment Models for RL
In Reinforcement Learning and Planning -- Reinforcement Learning
Karol Gregor · Danilo Jimenez Rezende · Frederic Besse · Yan Wu · Hamza Merzic · Aaron van den Oord
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #235
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
In Reinforcement Learning and Planning -- Reinforcement Learning
Alexander Mott · Daniel Zoran · Mike Chrzanowski · Daan Wierstra · Danilo Jimenez Rezende
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #236
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
In Theory -- Information Theory
Aditya Gangrade · Praveen Venkatesh · Bobak Nazer · Venkatesh Saligrama
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #237
Estimating Entropy of Distributions in Constant Space
In Theory -- Information Theory
Jayadev Acharya · Sourbh Bhadane · Piotr Indyk · Ziteng Sun
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #238
Gradient Information for Representation and Modeling
In Theory -- Information Theory
Jie Ding · Robert Calderbank · Vahid Tarokh
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #239
On The Classification-Distortion-Perception Tradeoff
In Theory -- Information Theory
Dong Liu · Haochen Zhang · Zhiwei Xiong
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #240
Statistical-Computational Tradeoff in Single Index Models
In Theory -- Information Theory
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #241
Structure Learning with Side Information: Sample Complexity
In Theory -- Information Theory
Saurabh Sihag · Ali Tajer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #242
The spiked matrix model with generative priors
In Theory -- Information Theory
Benjamin Aubin · Bruno Loureiro · Antoine Maillard · Florent Krzakala · Lenka Zdeborová
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #243
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
In Theory -- Information Theory
Yihan Jiang · Hyeji Kim · Himanshu Asnani · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #244
How degenerate is the parametrization of neural networks with the ReLU activation function?
In Theory -- Regularization
Dennis Maximilian Elbrächter · Julius Berner · Philipp Grohs
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #245
Implicit Regularization in Deep Matrix Factorization
In Theory -- Regularization
Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #246
The Impact of Regularization on High-dimensional Logistic Regression
In Theory -- Regularization
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #247
The Implicit Bias of AdaGrad on Separable Data
In Theory -- Regularization
Qian Qian · Xiaoyuan Qian
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #248
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
In Theory -- Regularization
Aditya Sharad Golatkar · Alessandro Achille · Stefano Soatto
[ Paper]  [ Poster] 
Break
Thu Dec 12 12:45 PM -- 02:15 PM (PST)
Lunch Break on your own
Break
Thu Dec 12 01:00 PM -- 02:15 PM (PST) @ West Ballroom C
Town Hall and Business Meeting
Talk
Thu Dec 12 01:00 PM -- 01:30 PM (PST) @ West 118 - 120
Accelerating Deep Learning At Wafer Scale By Cerebras Systems
Invited Talk
Thu Dec 12 02:15 PM -- 03:05 PM (PST) @ West Exhibition Hall C + B3
Agency + Automation: Designing Artificial Intelligence into Interactive Systems
Jeff Heer
Break
Thu Dec 12 03:05 PM -- 03:50 PM (PST) @ West and East
Coffee Break
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall A
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
In Track 2 Session 6
Sindy Löwe · Peter O'Connor · Bas Veeling
[ Paper]  [ Poster] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom C
Understanding Sparse JL for Feature Hashing
In Track 4 Session 6
Meena Jagadeesan
[ Paper]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom A + B
Blind Super-Resolution Kernel Estimation using an Internal-GAN
In Track 3 Session 6
Sefi Bell-Kligler · Assaf Shocher · Michal Irani
[ Paper]  [ Poster] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Average Individual Fairness: Algorithms, Generalization and Experiments
In Track 1 Session 6
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall A
On the Downstream Performance of Compressed Word Embeddings
In Track 2 Session 6
Avner May · Jian Zhang · Tri Dao · Christopher Ré
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Ballroom C
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
In Track 4 Session 6
Qing Qu · Xiao Li · Zhihui Zhu
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Ballroom A + B
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
In Track 3 Session 6
Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall C + B3
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
In Track 1 Session 6
Brian Lubars · Chenhao Tan
[ Paper]  [ Poster]  [ Slides]  [ Slides]  [ 3 min Video] 
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall A
CPM-Nets: Cross Partial Multi-View Networks
In Track 2 Session 6
Changqing Zhang · Zongbo Han · yajie cui · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Ballroom C
Efficiently Learning Fourier Sparse Set Functions
In Track 4 Session 6
Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause
[ Paper]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Ballroom A + B
Theoretical Analysis of Adversarial Learning: A Minimax Approach
In Track 3 Session 6
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall C + B3
Making AI Forget You: Data Deletion in Machine Learning
In Track 1 Session 6
Antonio Ginart · Melody Guan · Gregory Valiant · James Zou
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall A
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
In Track 2 Session 6
Tao Yu · Christopher De Sa
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Ballroom C
Generalization Error Analysis of Quantized Compressive Learning
In Track 4 Session 6
Xiaoyun Li · Ping Li
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Ballroom A + B
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
In Track 3 Session 6
Gonzalo Mena · Jonathan Niles-Weed
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall C + B3
On Testing for Biases in Peer Review
In Track 1 Session 6
Ivan Stelmakh · Nihar Shah · Aarti Singh
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Large Memory Layers with Product Keys
In Track 2 Session 6
Guillaume Lample · Alexandre Sablayrolles · Marc'Aurelio Ranzato · Ludovic Denoyer · Herve Jegou
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Ballroom C
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
In Track 4 Session 6
Ganlin Song · Zhou Fan · John Lafferty
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Ballroom A + B
Differentiable Ranking and Sorting using Optimal Transport
In Track 3 Session 6
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
A Step Toward Quantifying Independently Reproducible Machine Learning Research
In Track 1 Session 6
Edward Raff
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall A
XLNet: Generalized Autoregressive Pretraining for Language Understanding
In Track 2 Session 6
Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
[ Paper]  [ Poster] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom C
R2D2: Reliable and Repeatable Detector and Descriptor
In Track 4 Session 6
Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel
[ Paper]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom A + B
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
In Track 3 Session 6
Ananya Uppal · Shashank Singh · Barnabas Poczos
[ Paper]  [ Poster] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Robustness of Principal Component Regression
In Track 1 Session 6
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Cross-lingual Language Model Pretraining
In Track 2 Session 6
Alexis CONNEAU · Guillaume Lample
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Quadratic Video Interpolation
In Track 4 Session 6
Xiangyu Xu · Li Siyao · Wenxiu Sun · Qian Yin · Ming-Hsuan Yang
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Ballroom A + B
KerGM: Kernelized Graph Matching
In Track 3 Session 6
Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Private Learning Implies Online Learning: An Efficient Reduction
In Track 1 Session 6
Alon Gonen · Elad Hazan · Shay Moran
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall A
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
In Track 2 Session 6
Shengchao Liu · Mehmet Demirel · Yingyu Liang
[ Paper]  [ Slides]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Training Image Estimators without Image Ground Truth
In Track 4 Session 6
Zhihao Xia · Ayan Chakrabarti
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Ballroom A + B
Wasserstein Weisfeiler-Lehman Graph Kernels
In Track 3 Session 6
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-López · Bastian Rieck · Karsten Borgwardt
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
Private Stochastic Convex Optimization with Optimal Rates
In Track 1 Session 6
Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall A
Evaluating Protein Transfer Learning with TAPE
In Track 2 Session 6
Roshan Rao · Nicholas Bhattacharya · Neil Thomas · Yan Duan · Peter Chen · John Canny · Pieter Abbeel · Yun Song
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Ballroom C
STREETS: A Novel Camera Network Dataset for Traffic Flow
In Track 4 Session 6
Corey Snyder · Minh Do
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Ballroom A + B
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
In Track 3 Session 6
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall C + B3
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
In Track 1 Session 6
David Durfee · Ryan Rogers
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall A
Cormorant: Covariant Molecular Neural Networks
In Track 2 Session 6
Brandon Anderson · Truong Son Hy · Risi Kondor
[ Paper]  [ Slides]  [ Slides] 
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Ballroom C
Reflection Separation using a Pair of Unpolarized and Polarized Images
In Track 4 Session 6
Youwei Lyu · Zhaopeng Cui · Si Li · Marc Pollefeys · Boxin Shi
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Ballroom A + B
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
In Track 3 Session 6
Meyer Scetbon · Gael Varoquaux
[ Paper]  [ Poster]  [ Slides] 
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall C + B3
Differentially Private Markov Chain Monte Carlo
In Track 1 Session 6
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #1
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Zhao Song · David Woodruff · Peilin Zhong
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #2
On Distributed Averaging for Stochastic k-PCA
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #3
On Robustness of Principal Component Regression
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #4
Towards Practical Alternating Least-Squares for CCA
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
Zhiqiang Xu · Ping Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #5
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
In Algorithms -- Components Analysis (e.g., CCA, ICA, LDA, PCA)
David Clark · Jesse Livezey · Kristofer Bouchard
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #6
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
In Algorithms -- Kernel Methods
Meyer Scetbon · Gael Varoquaux
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #7
Distributionally Robust Optimization and Generalization in Kernel Methods
In Algorithms -- Kernel Methods
Matt Staib · Stefanie Jegelka
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #8
Learning metrics for persistence-based summaries and applications for graph classification
In Algorithms -- Kernel Methods
Qi Zhao · Yusu Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #9
Minimum Stein Discrepancy Estimators
In Algorithms -- Kernel Methods
Alessandro Barp · Francois-Xavier Briol · Andrew Duncan · Mark Girolami · Lester Mackey
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #10
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
In Algorithms -- Kernel Methods
Michela Meister · Tamas Sarlos · David Woodruff
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #11
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
In Algorithms -- Kernel Methods
Lizhong Ding · Mengyang Yu · Li Liu · Fan Zhu · Yong Liu · Yu Li · Ling Shao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #12
Wasserstein Weisfeiler-Lehman Graph Kernels
In Algorithms -- Kernel Methods
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-Lopez · Bastian Rieck · Karsten Borgwardt
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #13
Dimensionality reduction: theoretical perspective on practical measures
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Yair Bartal · Ora N Fandina · Ofer Neiman
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #14
Learning nonlinear level sets for dimensionality reduction in function approximation
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Guannan Zhang · Jiaxin Zhang · Jacob Hinkle
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #15
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Max Vladymyrov
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #16
Selecting the independent coordinates of manifolds with large aspect ratios
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Yu-Chia Chen · Marina Meila
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #17
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Boris Muzellec · Marco Cuturi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #18
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations
In Algorithms -- Nonlinear Dimensionality Reduction and Manifold Learning
Yifeng Fan · Tingran Gao · Zhizhen Jane Zhao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #19
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
In Algorithms -- Online Learning
Hamid Shayestehmanesh · Sajjad Azami · Nishant Mehta
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #20
Dynamic Local Regret for Non-convex Online Forecasting
In Algorithms -- Online Learning
Sergul Aydore · Tianhao Zhu · Dean Foster
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #21
Online Convex Matrix Factorization with Representative Regions
In Algorithms -- Online Learning
Jianhao Peng · Olgica Milenkovic · Abhishek Agarwal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #22
Online Forecasting of Total-Variation-bounded Sequences
In Algorithms -- Online Learning
Dheeraj Baby · Yu-Xiang Wang
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #23
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
In Algorithms -- Online Learning
Aviv Rosenberg · Yishay Mansour
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #24
Private Learning Implies Online Learning: An Efficient Reduction
In Algorithms -- Online Learning
Alon Gonen · Elad Hazan · Shay Moran
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #25
Random Path Selection for Continual Learning
In Algorithms -- Online Learning
Jathushan Rajasegaran · Munawar Hayat · Salman H Khan · Fahad Shahbaz Khan · Ling Shao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #26
Superposition of many models into one
In Algorithms -- Online Learning
Brian Cheung · Alexander Terekhov · Yubei Chen · Pulkit Agrawal · Bruno Olshausen
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #27
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
In Algorithms -- Online Learning
Dirk van der Hoeven
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #28
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
In Algorithms -- Representation Learning
Sjoerd van Steenkiste · Francesco Locatello · Jürgen Schmidhuber · Olivier Bachem
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #29
CPM-Nets: Cross Partial Multi-View Networks
In Algorithms -- Representation Learning
Changqing Zhang · Zongbo Han · yajie cui · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #30
Cross-lingual Language Model Pretraining
In Algorithms -- Representation Learning
Alexis CONNEAU · Guillaume Lample
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #31
Graph Transformer Networks
In Algorithms -- Representation Learning
Seongjun Yun · Minbyul Jeong · Raehyun Kim · Jaewoo Kang · Hyunwoo Kim
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #32
Learning Representations by Maximizing Mutual Information Across Views
In Algorithms -- Representation Learning
Philip Bachman · R Devon Hjelm · William Buchwalter
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #33
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
In Algorithms -- Representation Learning
Tao Yu · Christopher De Sa
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #34
On the Fairness of Disentangled Representations
In Algorithms -- Representation Learning
Francesco Locatello · Gabriele Abbati · Thomas Rainforth · Stefan Bauer · Bernhard Schölkopf · Olivier Bachem
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #35
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
In Algorithms -- Representation Learning
Muhammad Waleed Gondal · Manuel Wuethrich · Djordje Miladinovic · Francesco Locatello · Martin Breidt · Valentin Volchkov · Joel Akpo · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #36
Stacked Capsule Autoencoders
In Algorithms -- Representation Learning
Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #37
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
In Algorithms -- Representation Learning
Nima Dehmamy · Albert-Laszlo Barabasi · Rose Yu
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #38
Wasserstein Dependency Measure for Representation Learning
In Algorithms -- Representation Learning
Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #39
Learning step sizes for unfolded sparse coding
In Algorithms -- Sparse Coding and Dimensionality Expansion
Pierre Ablin · Thomas Moreau · Mathurin Massias · Alexandre Gramfort
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #40
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
In Algorithms -- Sparsity and Compressed Sensing
Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #41
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
In Algorithms -- Sparsity and Compressed Sensing
Gauri Jagatap · Chinmay Hegde
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #42
Block Coordinate Regularization by Denoising
In Algorithms -- Sparsity and Compressed Sensing
Yu Sun · Jiaming Liu · Ulugbek Kamilov
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #43
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
In Algorithms -- Sparsity and Compressed Sensing
Quentin Bertrand · Mathurin Massias · Alexandre Gramfort · Joseph Salmon
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #44
Efficiently Learning Fourier Sparse Set Functions
In Algorithms -- Sparsity and Compressed Sensing
Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #45
Fast Sparse Group Lasso
In Algorithms -- Sparsity and Compressed Sensing
Yasutoshi Ida · Yasuhiro Fujiwara · Hisashi Kashima
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #46
Global Guarantees for Blind Demodulation with Generative Priors
In Algorithms -- Sparsity and Compressed Sensing
Paul Hand · Babhru Joshi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #47
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
In Algorithms -- Sparsity and Compressed Sensing
Shuo Yang · Yanyao Shen · Sujay Sanghavi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #48
Inverting Deep Generative models, One layer at a time
In Algorithms -- Sparsity and Compressed Sensing
Qi Lei · Ajil Jalal · Inderjit Dhillon · Alex Dimakis
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #49
Manifold denoising by Nonlinear Robust Principal Component Analysis
In Algorithms -- Sparsity and Compressed Sensing
He Lyu · Ningyu Sha · Shuyang Qin · Ming Yan · Yuying Xie · Rongrong Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #50
Rethinking the CSC Model for Natural Images
In Algorithms -- Sparsity and Compressed Sensing
Dror Simon · Michael Elad
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #51
Sample Complexity of Learning Mixture of Sparse Linear Regressions
In Algorithms -- Sparsity and Compressed Sensing
Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #52
Sampling Sketches for Concave Sublinear Functions of Frequencies
In Algorithms -- Sparsity and Compressed Sensing
Edith Cohen · Ofir Geri
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #53
Screening Sinkhorn Algorithm for Regularized Optimal Transport
In Algorithms -- Sparsity and Compressed Sensing
Mokhtar Z. Alaya · Maxime Berar · Gilles Gasso · Alain Rakotomamonjy
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #54
Solving graph compression via optimal transport
In Algorithms -- Sparsity and Compressed Sensing
Vikas Garg · Tommi Jaakkola
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #55
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
In Algorithms -- Sparsity and Compressed Sensing
Larkin Flodin · Venkata Gandikota · Arya Mazumdar
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #56
Universality in Learning from Linear Measurements
In Algorithms -- Sparsity and Compressed Sensing
Ehsan Abbasi · Fariborz Salehi · Babak Hassibi
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #57
Efficient Convex Relaxations for Streaming PCA
In Algorithms -- Stochastic Methods
Raman Arora · Teodor Vanislavov Marinov
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #58
Thinning for Accelerating the Learning of Point Processes
In Algorithms -- Stochastic Methods
Tianbo Li · Yiping Ke
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #59
Understanding Sparse JL for Feature Hashing
In Algorithms -- Stochastic Methods
Meena Jagadeesan
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #60
Differentiable Ranking and Sorting using Optimal Transport
In Algorithms -- Structured Prediction
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #61
Globally Optimal Learning for Structured Elliptical Losses
In Algorithms -- Structured Prediction
Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #62
Graph Structured Prediction Energy Networks
In Algorithms -- Structured Prediction
Colin Graber · Alex Schwing
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #63
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
In Algorithms -- Structured Prediction
Amirmohammad Rooshenas · Dongxu Zhang · Gopal Sharma · Andrew McCallum
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #64
Structured Prediction with Projection Oracles
In Algorithms -- Structured Prediction
Mathieu Blondel
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #65
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
In Algorithms -- Unsupervised Learning
Joshua Robinson · Suvrit Sra · Stefanie Jegelka
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #66
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
In Algorithms -- Unsupervised Learning
Sindy Löwe · Peter O'Connor · Bas Veeling
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #67
Hamiltonian Neural Networks
In Algorithms -- Unsupervised Learning
Sam Greydanus · Misko Dzamba · Jason Yosinski
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #68
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
In Algorithms -- Unsupervised Learning
Dan Hendrycks · Mantas Mazeika · Saurav Kadavath · Dawn Song
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #69
Learning about an exponential amount of conditional distributions
In Algorithms -- Unsupervised Learning
Mohamed Ishmael Belghazi · Maxime Oquab · David Lopez-Paz
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #70
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
In Algorithms -- Unsupervised Learning
Shengchao Liu · Mehmet Demirel · Yingyu Liang
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #71
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
In Algorithms -- Unsupervised Learning
Mostafa Rahmani · Ping Li
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #72
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
In Applications -- Activity and Event Recognition
Quanfu Fan · Chun-Fu (Richard) Chen · Hilde Kuehne · Marco Pistoia · David Cox
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #73
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
In Applications -- Activity and Event Recognition
Jinwoo Choi · Chen Gao · Joseph C. E. Messou · Jia-Bin Huang
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #74
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
In Applications -- Activity and Event Recognition
Yitian Yuan · Lin Ma · Jingwen Wang · Wei Liu · Wenwu Zhu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #75
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
In Applications -- Activity and Event Recognition
Mathias Perslev · Michael Jensen · Sune Darkner · Poul Jørgen Jennum · Christian Igel
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #76
Cormorant: Covariant Molecular Neural Networks
In Applications -- Computational Biology and Bioinformatics
Brandon Anderson · Truong Son Hy · Risi Kondor
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #77
Deep imitation learning for molecular inverse problems
In Applications -- Computational Biology and Bioinformatics
Eric Jonas
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #78
End-to-End Learning on 3D Protein Structure for Interface Prediction
In Applications -- Computational Biology and Bioinformatics
Raphael Townshend · Rishi Bedi · Patricia Suriana · Ron Dror
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #79
Evaluating Protein Transfer Learning with TAPE
In Applications -- Computational Biology and Bioinformatics
Roshan Rao · Nicholas Bhattacharya · Neil Thomas · Yan Duan · Peter Chen · John Canny · Pieter Abbeel · Yun Song
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #80
Generative Models for Graph-Based Protein Design
In Applications -- Computational Biology and Bioinformatics
John Ingraham · Vikas Garg · Regina Barzilay · Tommi Jaakkola
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #81
Recurrent Kernel Networks
In Applications -- Computational Biology and Bioinformatics
Dexiong Chen · Laurent Jacob · Julien Mairal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #82
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
In Applications -- Computational Photography
Miika Aittala · Prafull Sharma · Lukas Murmann · Adam Yedidia · Gregory Wornell · Bill Freeman · Fredo Durand
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #83
Reflection Separation using a Pair of Unpolarized and Polarized Images
In Applications -- Computational Photography
Youwei Lyu · Zhaopeng Cui · Si Li · Marc Pollefeys · Boxin Shi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #84
Training Image Estimators without Image Ground Truth
In Applications -- Computational Photography
Zhihao Xia · Ayan Chakrabarti
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #85
Making the Cut: A Bandit-based Approach to Tiered Interviewing
In Applications -- Computational Social Science
Candice Schumann · Zhi Lang · Jeffrey Foster · John Dickerson
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #86
On Human-Aligned Risk Minimization
In Applications -- Computational Social Science
Liu Leqi · Adarsh Prasad · Pradeep Ravikumar
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #87
Blind Super-Resolution Kernel Estimation using an Internal-GAN
In Applications -- Computer Vision
Sefi Bell-Kligler · Assaf Shocher · Michal Irani
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #88
Chirality Nets for Human Pose Regression
In Applications -- Computer Vision
Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #89
Explicitly disentangling image content from translation and rotation with spatial-VAE
In Applications -- Computer Vision
Tristan Bepler · Ellen Zhong · Kotaro Kelley · Edward Brignole · Bonnie Berger
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #90
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
In Applications -- Computer Vision
Yuan Liu · Zehong Shen · Zhixuan Lin · Sida Peng · Hujun Bao · Xiaowei Zhou
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #91
Learning to Infer Implicit Surfaces without 3D Supervision
In Applications -- Computer Vision
Shichen Liu · Shunsuke Saito · Weikai Chen · Hao Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #92
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
In Applications -- Computer Vision
Wenzheng Chen · Huan Ling · Jun Gao · Edward Smith · Jaakko Lehtinen · Alec Jacobson · Sanja Fidler
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #93
A Self Validation Network for Object-Level Human Attention Estimation
In Applications -- Computer Vision
Zehua Zhang · Chen Yu · David Crandall
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #94
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
In Applications -- Computer Vision
David Novotny · Ben Graham · Jeremy Reizenstein
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #95
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
In Applications -- Computer Vision
Can Qin · Haoxuan You · Lichen Wang · C.-C. Jay Kuo · Yun Fu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #96
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
In Applications -- Computer Vision
Yue Wang · Justin Solomon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #97
Quadratic Video Interpolation
In Applications -- Computer Vision
Xiangyu Xu · Li Siyao · Wenxiu Sun · Qian Yin · Ming-Hsuan Yang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #98
R2D2: Reliable and Repeatable Detector and Descriptor
In Applications -- Computer Vision
Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #99
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
In Applications -- Computer Vision
Yizhe Zhu · Jianwen Xie · Zhiqiang Tang · Xi Peng · Ahmed Elgammal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #100
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
In Applications -- Computer Vision
Yujiao Shi · Liu Liu · Xin Yu · Hongdong Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #101
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
In Applications -- Computer Vision
Karim Ahmed · Lorenzo Torresani
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #102
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
In Applications -- Denoising
Magauiya Zhussip · Shakarim Soltanayev · Se Young Chun
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #103
Variational Denoising Network: Toward Blind Noise Modeling and Removal
In Applications -- Denoising
Zongsheng Yue · Hongwei Yong · Qian Zhao · Deyu Meng · Lei Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #104
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
In Applications -- Fairness, Accountability, and Transparency
Brian Lubars · Chenhao Tan
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #105
Attribution-Based Confidence Metric For Deep Neural Networks
In Applications -- Fairness, Accountability, and Transparency
Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #106
Average Individual Fairness: Algorithms, Generalization and Experiments
In Applications -- Fairness, Accountability, and Transparency
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #107
Disentangling Influence: Using disentangled representations to audit model predictions
In Applications -- Fairness, Accountability, and Transparency
Charles Marx · Richard Lanas Phillips · Sorelle Friedler · Carlos Scheidegger · Suresh Venkatasubramanian
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #108
Equal Opportunity in Online Classification with Partial Feedback
In Applications -- Fairness, Accountability, and Transparency
Yahav Bechavod · Katrina Ligett · Aaron Roth · Bo Waggoner · Steven Wu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #109
Exploring Algorithmic Fairness in Robust Graph Covering Problems
In Applications -- Fairness, Accountability, and Transparency
Aida Rahmattalabi · Phebe Vayanos · Anthony Fulginiti · Eric Rice · Bryan Wilder · Amulya Yadav · Milind Tambe
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #110
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
In Applications -- Fairness, Accountability, and Transparency
Xueru Zhang · Mohammad Mahdi Khalili · Cem Tekin · Mingyan Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #111
Inherent Tradeoffs in Learning Fair Representations
In Applications -- Fairness, Accountability, and Transparency
Han Zhao · Geoff Gordon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #112
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
In Applications -- Fairness, Accountability, and Transparency
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #113
Offline Contextual Bandits with High Probability Fairness Guarantees
In Applications -- Fairness, Accountability, and Transparency
Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #114
On Relating Explanations and Adversarial Examples
In Applications -- Fairness, Accountability, and Transparency
Alexey Ignatiev · Nina Narodytska · Joao Marques-Silva
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #115
On Testing for Biases in Peer Review
In Applications -- Fairness, Accountability, and Transparency
Ivan Stelmakh · Nihar Shah · Aarti Singh
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #116
On the (In)fidelity and Sensitivity of Explanations
In Applications -- Fairness, Accountability, and Transparency
Chih-Kuan Yeh · Cheng-Yu Hsieh · Arun Suggala · David Inouye · Pradeep Ravikumar
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #117
Policy Learning for Fairness in Ranking
In Applications -- Fairness, Accountability, and Transparency
Ashudeep Singh · Thorsten Joachims
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #118
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric
In Applications -- Fairness, Accountability, and Transparency
Nathan Kallus · Angela Zhou
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #119
Unlocking Fairness: a Trade-off Revisited
In Applications -- Fairness, Accountability, and Transparency
Michael Wick · Swetasudha Panda · Jean-Baptiste Tristan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #120
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
In Applications -- Hardware and Systems
Mejbah Alam · Justin Gottschlich · Nesime Tatbul · Javier Turek · Tim Mattson · Abdullah Muzahid
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #121
Coda: An End-to-End Neural Program Decompiler
In Applications -- Hardware and Systems
Cheng Fu · Huili Chen · Haolan Liu · Xinyun Chen · Yuandong Tian · Farinaz Koushanfar · Jishen Zhao
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #122
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
In Applications -- Hardware and Systems
Ravichandra Addanki · Shaileshh Bojja Venkatakrishnan · Shreyan Gupta · Hongzi Mao · Mohammad Alizadeh
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #123
Making AI Forget You: Data Deletion in Machine Learning
In Applications -- Hardware and Systems
Antonio Ginart · Melody Guan · Gregory Valiant · James Zou
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #124
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
In Applications -- Hardware and Systems
Igor Fedorov · Ryan Adams · Matthew Mattina · Paul Whatmough
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #125
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic
In Applications -- Hardware and Systems
Arash Ardakani · Zhengyun Ji · Amir Ardakani · Warren Gross
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #126
Towards Hardware-Aware Tractable Learning of Probabilistic Models
In Applications -- Hardware and Systems
Laura Galindez Olascoaga · Wannes Meert · Nimish Shah · Marian Verhelst · Guy Van den Broeck
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #127
Attentive State-Space Modeling of Disease Progression
In Applications -- Health
Ahmed Alaa · Mihaela van der Schaar
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #128
Domain Generalization via Model-Agnostic Learning of Semantic Features
In Applications -- Health
Qi Dou · Daniel Coelho de Castro · Konstantinos Kamnitsas · Ben Glocker
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #129
Recurrent Registration Neural Networks for Deformable Image Registration
In Applications -- Health
Robin Sandkühler · Simon Andermatt · Grzegorz Bauman · Sylvia Nyilas · Christoph Jud · Philippe C. Cattin
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #130
Transfusion: Understanding Transfer Learning for Medical Imaging
In Applications -- Health
Maithra Raghu · Chiyuan Zhang · Jon Kleinberg · Samy Bengio
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #131
Can Unconditional Language Models Recover Arbitrary Sentences?
In Applications -- Natural Language Processing
Nishant Subramani · Samuel Bowman · Kyunghyun Cho
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #132
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
In Applications -- Natural Language Processing
Ke Wang · Hang Hua · Xiaojun Wan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #133
Defending Against Neural Fake News
In Applications -- Natural Language Processing
Rowan Zellers · Ari Holtzman · Hannah Rashkin · Yonatan Bisk · Ali Farhadi · Franziska Roesner · Yejin Choi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #134
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
In Applications -- Natural Language Processing
Mariya Toneva · Leila Wehbe
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #135
Invariance and identifiability issues for word embeddings
In Applications -- Natural Language Processing
Rachel Carrington · Karthik Bharath · Simon Preston
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #136
Kernelized Bayesian Softmax for Text Generation
In Applications -- Natural Language Processing
Ning Miao · Hao Zhou · Chengqi Zhao · Wenxian Shi · Lei Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #137
Levenshtein Transformer
In Applications -- Natural Language Processing
Jiatao Gu · Changhan Wang · Junbo Zhao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #138
Neural Machine Translation with Soft Prototype
In Applications -- Natural Language Processing
Yiren Wang · Yingce Xia · Fei Tian · Fei Gao · Tao Qin · Cheng Xiang Zhai · Tie-Yan Liu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #139
Paraphrase Generation with Latent Bag of Words
In Applications -- Natural Language Processing
Yao Fu · Yansong Feng · John Cunningham
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #140
Unified Language Model Pre-training for Natural Language Understanding and Generation
In Applications -- Natural Language Processing
Li Dong · Nan Yang · Wenhui Wang · Furu Wei · Xiaodong Liu · Yu Wang · Jianfeng Gao · Ming Zhou · Hsiao-Wuen Hon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #141
XLNet: Generalized Autoregressive Pretraining for Language Understanding
In Applications -- Natural Language Processing
Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #142
Adaptive Influence Maximization with Myopic Feedback
In Applications -- Network Analysis
Binghui Peng · Wei Chen
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #143
Conditional Structure Generation through Graph Variational Generative Adversarial Nets
In Applications -- Network Analysis
Carl Yang · Peiye Zhuang · Wenhan Shi · Alan Luu · Pan Li
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #144
GOT: An Optimal Transport framework for Graph comparison
In Applications -- Network Analysis
Hermina Petric Maretic · Mireille El Gheche · Giovanni Chierchia · Pascal Frossard
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #145
KerGM: Kernelized Graph Matching
In Applications -- Network Analysis
Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #146
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
In Applications -- Network Analysis
Pan Li · Eli Chien · Olgica Milenkovic
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #147
Variational Graph Recurrent Neural Networks
In Applications -- Network Analysis
Ehsan Hajiramezanali · Arman Hasanzadeh · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #148
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
In Applications -- Network Analysis
Fan-Yun Sun · Meng Qu · Jordan Hoffmann · Chin-Wei Huang · Jian Tang
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #149
Learning Deep Bilinear Transformation for Fine-grained Image Representation
In Applications -- Object Recognition
Heliang Zheng · Jianlong Fu · Zheng-Jun Zha · Jiebo Luo
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #150
Learning Disentangled Representation for Robust Person Re-identification
In Applications -- Object Recognition
Chanho Eom · Bumsub Ham
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #151
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
In Applications -- Object Recognition
Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #152
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
In Applications -- Privacy, Anonymity, and Security
Hadi Salman · Greg Yang · Huan Zhang · Cho-Jui Hsieh · Pengchuan Zhang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #153
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
In Applications -- Privacy, Anonymity, and Security
Janardhan Kulkarni · Olga Ohrimenko · Bolin Ding · Sergey Yekhanin · Joshua Allen · Harsha Nori
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #154
Deep Leakage from Gradients
In Applications -- Privacy, Anonymity, and Security
Ligeng Zhu · Zhijian Liu · Song Han
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #155
Defending Neural Backdoors via Generative Distribution Modeling
In Applications -- Privacy, Anonymity, and Security
Ximing Qiao · Yukun Yang · Hai Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #156
Differential Privacy Has Disparate Impact on Model Accuracy
In Applications -- Privacy, Anonymity, and Security
Eugene Bagdasaryan · Omid Poursaeed · Vitaly Shmatikov
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #157
Differentially Private Covariance Estimation
In Applications -- Privacy, Anonymity, and Security
Kareem Amin · Travis Dick · Alex Kulesza · Andres Munoz Medina · Sergei Vassilvitskii
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #158
Differentially Private Markov Chain Monte Carlo
In Applications -- Privacy, Anonymity, and Security
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #159
Elliptical Perturbations for Differential Privacy
In Applications -- Privacy, Anonymity, and Security
Matthew Reimherr · Jordan Awan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #160
Oblivious Sampling Algorithms for Private Data Analysis
In Applications -- Privacy, Anonymity, and Security
Olga Ohrimenko · Sajin Sasy
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #161
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
In Applications -- Privacy, Anonymity, and Security
David Durfee · Ryan Rogers
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #162
Privacy Amplification by Mixing and Diffusion Mechanisms
In Applications -- Privacy, Anonymity, and Security
Borja Balle · Gilles Barthe · Marco Gaboardi · Joseph Geumlek
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #163
Private Stochastic Convex Optimization with Optimal Rates
In Applications -- Privacy, Anonymity, and Security
Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #164
Code Generation as a Dual Task of Code Summarization
In Applications -- Program Understanding and Generation
Bolin Wei · Ge Li · Xin Xia · Zhiyi Fu · Zhi Jin
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #165
Compiler Auto-Vectorization with Imitation Learning
In Applications -- Program Understanding and Generation
Charith Mendis · Cambridge Yang · Yewen Pu · Saman Amarasinghe · Michael Carbin
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #166
Learning Transferable Graph Exploration
In Applications -- Program Understanding and Generation
Hanjun Dai · Yujia Li · Chenglong Wang · Rishabh Singh · Po-Sen Huang · Pushmeet Kohli
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #167
Neural Attribution for Semantic Bug-Localization in Student Programs
In Applications -- Program Understanding and Generation
Rahul Gupta · Aditya Kanade · Shirish Shevade
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #168
Program Synthesis and Semantic Parsing with Learned Code Idioms
In Applications -- Program Understanding and Generation
Richard Shin · Miltiadis Allamanis · Marc Brockschmidt · Oleksandr Polozov
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #169
SPoC: Search-based Pseudocode to Code
In Applications -- Program Understanding and Generation
Sumith Kulal · Panupong Pasupat · Kartik Chandra · Mina Lee · Oded Padon · Alex Aiken · Percy Liang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #170
Write, Execute, Assess: Program Synthesis with a REPL
In Applications -- Program Understanding and Generation
Kevin Ellis · Maxwell Nye · Yewen Pu · Felix Sosa · Josh Tenenbaum · Armando Solar-Lezama
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #171
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
In Applications -- Sustainability
Jennifer Cardona · Michael Howland · John Dabiri
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #172
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking
In Applications -- Tracking and Motion in Video
Congchao Wang · Yizhi Wang · Yinxue Wang · Chiung-Ting Wu · Guoqiang Yu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #173
Region-specific Diffeomorphic Metric Mapping
In Applications -- Tracking and Motion in Video
Zhengyang Shen · Francois-Xavier Vialard · Marc Niethammer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #174
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
In Applications -- Tracking and Motion in Video
Vineet Kosaraju · Amir Sadeghian · Roberto Martín-Martín · Ian Reid · Hamid Rezatofighi · Silvio Savarese
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #175
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
In Applications -- Video Analysis
Zuxuan Wu · Caiming Xiong · Yu-Gang Jiang · Larry Davis
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #176
Recurrent Space-time Graph Neural Networks
In Applications -- Video Analysis
Andrei Nicolicioiu · Iulia Duta · Marius Leordeanu
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #177
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
In Data, Challenges, Implementations, and Software -- Data Sets or Data Repositories
Andrei Barbu · David Mayo · Julian Alverio · William Luo · Christopher Wang · Dan Gutfreund · Josh Tenenbaum · Boris Katz
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #178
Park: An Open Platform for Learning-Augmented Computer Systems
In Data, Challenges, Implementations, and Software -- Data Sets or Data Repositories
Hongzi Mao · Parimarjan Negi · Akshay Narayan · Hanrui Wang · Jiacheng Yang · Haonan Wang · Ryan Marcus · Ravichandra Addanki · Mehrdad Khani Shirkoohi · Songtao He · Vikram Nathan · Frank Cangialosi · Shaileshh Venkatakrishnan · Wei-Hung Weng · Song Han · Tim Kraska · Dr.Mohammad Alizadeh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #179
STREETS: A Novel Camera Network Dataset for Traffic Flow
In Data, Challenges, Implementations, and Software -- Data Sets or Data Repositories
Corey Snyder · Minh Do
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #180
A Step Toward Quantifying Independently Reproducible Machine Learning Research
In Data, Challenges, Implementations, and Software -- Software Toolkits
Edward Raff
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #181
GENO -- GENeric Optimization for Classical Machine Learning
In Data, Challenges, Implementations, and Software -- Software Toolkits
Sören Laue · Matthias Mitterreiter · Joachim Giesen
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #182
PyTorch: An Imperative Style, High-Performance Deep Learning Library
In Data, Challenges, Implementations, and Software -- Software Toolkits
Adam Paszke · Sam Gross · Francisco Massa · Adam Lerer · James Bradbury · Gregory Chanan · Trevor Killeen · Zeming Lin · Natalia Gimelshein · Luca Antiga · Alban Desmaison · Andreas Kopf · Edward Yang · Zachary DeVito · Martin Raison · Alykhan Tejani · Sasank Chilamkurthy · Benoit Steiner · Lu Fang · Junjie Bai · Soumith Chintala
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #183
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
In Deep Learning -- Embedding Approaches
Chuan Guo · Ali Mousavi · Xiang Wu · Daniel Holtmann-Rice · Satyen Kale · Sashank Reddi · Sanjiv Kumar
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #184
End to end learning and optimization on graphs
In Deep Learning -- Embedding Approaches
Bryan Wilder · Eric Ewing · Bistra Dilkina · Milind Tambe
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #185
On the Downstream Performance of Compressed Word Embeddings
In Deep Learning -- Embedding Approaches
Avner May · Jian Zhang · Tri Dao · Christopher Ré
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #186
Quantum Embedding of Knowledge for Reasoning
In Deep Learning -- Embedding Approaches
Dinesh Garg · Shajith Ikbal Mohamed · Santosh Kumar Srivastava · Harit Vishwakarma · Hima Karanam · L Venkata Subramaniam
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #187
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
In Deep Learning -- Embedding Approaches
Jonathan Sauder · Bjarne Sievers
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #188
Embedding Symbolic Knowledge into Deep Networks
In Deep Learning -- Embedding Approaches
Yaqi Xie · Ziwei Xu · Kuldeep S Meel · Mohan Kankanhalli · Harold Soh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #189
Spherical Text Embedding
In Deep Learning -- Embedding Approaches
Yu Meng · Jiaxin Huang · Guangyuan Wang · Chao Zhang · Honglei Zhuang · Lance Kaplan · Jiawei Han
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #190
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
In Deep Learning -- Embedding Approaches
Liwei Wu · Shuqing Li · Cho-Jui Hsieh · James Sharpnack
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #191
Episodic Memory in Lifelong Language Learning
In Deep Learning -- Memory-Augmented Neural Networks
Cyprien de Masson d'Autume · Sebastian Ruder · Lingpeng Kong · Dani Yogatama
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #192
Generalization of Reinforcement Learners with Working and Episodic Memory
In Deep Learning -- Memory-Augmented Neural Networks
Meire Fortunato · Melissa Tan · Ryan Faulkner · Steven Hansen · Adrià Puigdomènech Badia · Gavin Buttimore · Charles Deck · Joel Leibo · Charles Blundell
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #193
Large Memory Layers with Product Keys
In Deep Learning -- Memory-Augmented Neural Networks
Guillaume Lample · Alexandre Sablayrolles · Marc'Aurelio Ranzato · Ludovic Denoyer · Herve Jegou
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #194
Ordered Memory
In Deep Learning -- Memory-Augmented Neural Networks
Yikang Shen · Shawn Tan · Arian Hosseini · Zhouhan Lin · Alessandro Sordoni · Aaron Courville
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #195
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
In Deep Learning -- Optimization for Deep Networks
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #196
Are deep ResNets provably better than linear predictors?
In Deep Learning -- Optimization for Deep Networks
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #197
Efficient Rematerialization for Deep Networks
In Deep Learning -- Optimization for Deep Networks
Ravi Kumar · Manish Purohit · Zoya Svitkina · Erik Vee · Joshua Wang
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #198
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks
In Deep Learning -- Optimization for Deep Networks
Guodong Zhang · James Martens · Roger Grosse
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #199
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
In Deep Learning -- Optimization for Deep Networks
Devansh Arpit · Víctor Campos · Yoshua Bengio
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #200
Lookahead Optimizer: k steps forward, 1 step back
In Deep Learning -- Optimization for Deep Networks
Michael Zhang · James Lucas · Jimmy Ba · Geoffrey E Hinton
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #201
Global Convergence of Gradient Descent for Deep Linear Residual Networks
In Deep Learning -- Optimization for Deep Networks
Lei Wu · Qingcan Wang · Chao Ma
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #202
Piecewise Strong Convexity of Neural Networks
In Deep Learning -- Optimization for Deep Networks
Tristan Milne
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #203
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
In Deep Learning -- Optimization for Deep Networks
Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #204
A Primal Dual Formulation For Deep Learning With Constraints
In Deep Learning -- Optimization for Deep Networks
Yatin Nandwani · Abhishek Pathak · Mausam · Parag Singla
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #205
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
In Deep Learning -- Optimization for Deep Networks
Ganlin Song · Zhou Fan · John Lafferty
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #206
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
In Deep Learning -- Optimization for Deep Networks
Igor Colin · Ludovic DOS SANTOS · Kevin Scaman
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #207
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
In Optimization -- Non-Convex Optimization
Qing Qu · Xiao Li · Zhihui Zhu
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #208
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
In Optimization -- Non-Convex Optimization
Mehmet Fatih Sahin · Armin eftekhari · Ahmet Alacaoglu · Fabian Latorre · Volkan Cevher
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #209
Bayesian Optimization with Unknown Search Space
In Optimization -- Non-Convex Optimization
Huong Ha · Santu Rana · Sunil Gupta · Thanh Nguyen-Tang · Hung Tran-The · Svetha Venkatesh
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #210
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
In Optimization -- Non-Convex Optimization
Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #211
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
In Optimization -- Non-Convex Optimization
Shuai Zheng · Ziyue Huang · James Kwok
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #212
Distributed Low-rank Matrix Factorization With Exact Consensus
In Optimization -- Non-Convex Optimization
Zhihui Zhu · Qiuwei Li · Xinshuo Yang · Gongguo Tang · Michael B Wakin
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #213
Efficient Algorithms for Smooth Minimax Optimization
In Optimization -- Non-Convex Optimization
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #214
Momentum-Based Variance Reduction in Non-Convex SGD
In Optimization -- Non-Convex Optimization
Ashok Cutkosky · Francesco Orabona
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #215
Provable Non-linear Inductive Matrix Completion
In Optimization -- Non-Convex Optimization
Kai Zhong · Zhao Song · Prateek Jain · Inderjit Dhillon
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #216
Semi-flat minima and saddle points by embedding neural networks to overparameterization
In Optimization -- Non-Convex Optimization
Kenji Fukumizu · Shoichiro Yamaguchi · Yoh-ichi Mototake · Mirai Tanaka
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #217
Shadowing Properties of Optimization Algorithms
In Optimization -- Non-Convex Optimization
Antonio Orvieto · Aurelien Lucchi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #218
Power analysis of knockoff filters for correlated designs
In Theory -- Frequentist Statistics
Jingbo Liu · Philippe Rigollet
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #219
Concentration of risk measures: A Wasserstein distance approach
In Theory -- Frequentist Statistics
Sanjay P. Bhat · Prashanth L.A.
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #220
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
In Theory -- Frequentist Statistics
Gonzalo Mena · Jonathan Niles-Weed
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #221
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
In Theory -- Game Theory and Computational Economics
Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #222
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
In Theory -- Game Theory and Computational Economics
Faidra Monachou · Itai Ashlagi
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #223
Distinguishing Distributions When Samples Are Strategically Transformed
In Theory -- Game Theory and Computational Economics
Hanrui Zhang · Yu Cheng · Vincent Conitzer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #224
Manipulating a Learning Defender and Ways to Counteract
In Theory -- Game Theory and Computational Economics
Jiarui Gan · Qingyu Guo · Long Tran-Thanh · Bo An · Michael Wooldridge
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #225
Prior-Free Dynamic Auctions with Low Regret Buyers
In Theory -- Game Theory and Computational Economics
Yuan Deng · Jon Schneider · Balasubramanian Sivan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #226
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
In Theory -- Large Deviations and Asymptotic Analysis
Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #227
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
In Theory -- Large Deviations and Asymptotic Analysis
Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #228
A General Framework for Symmetric Property Estimation
In Theory -- Learning Theory
Moses Charikar · Kirankumar Shiragur · Aaron Sidford
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #229
Generalization Bounds in the Predict-then-Optimize Framework
In Theory -- Learning Theory
Othman El Balghiti · Adam N. Elmachtoub · Paul Grigas · Ambuj Tewari
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #230
Generalization Error Analysis of Quantized Compressive Learning
In Theory -- Learning Theory
Xiaoyun Li · Ping Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #231
Implicit Regularization of Accelerated Methods in Hilbert Spaces
In Theory -- Learning Theory
Nicolò Pagliana · Lorenzo Rosasco
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #232
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
In Theory -- Learning Theory
Jeffrey Negrea · Mahdi Haghifam · Gintare Karolina Dziugaite · Ashish Khisti · Daniel Roy
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #233
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
In Theory -- Learning Theory
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #234
PAC-Bayes Un-Expected Bernstein Inequality
In Theory -- Learning Theory
Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #235
Private Testing of Distributions via Sample Permutations
In Theory -- Learning Theory
Maryam Aliakbarpour · Ilias Diakonikolas · Daniel Kane · Ronitt Rubinfeld
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #236
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
In Theory -- Learning Theory
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #237
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
In Theory -- Learning Theory
Xiaoyi Gu · Leman Akoglu · Alessandro Rinaldo
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #238
Theoretical Analysis of Adversarial Learning: A Minimax Approach
In Theory -- Learning Theory
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #239
Unified Sample-Optimal Property Estimation in Near-Linear Time
In Theory -- Learning Theory
Yi Hao · Alon Orlitsky
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #240
Gradient Dynamics of Shallow Univariate ReLU Networks
In Theory -- Spaces of Functions and Kernels
Francis Williams · Matthew Trager · Daniele Panozzo · Claudio Silva · Denis Zorin · Joan Bruna
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #241
Kernel quadrature with DPPs
In Theory -- Spaces of Functions and Kernels
Ayoub Belhadji · Rémi Bardenet · Pierre Chainais
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #242
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
In Theory -- Spaces of Functions and Kernels
Kwang-Sung Jun · Ashok Cutkosky · Francesco Orabona
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #243
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
In Theory -- Spaces of Functions and Kernels
Ananya Uppal · Shashank Singh · Barnabas Poczos
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #244
On the Expressive Power of Deep Polynomial Neural Networks
In Theory -- Spaces of Functions and Kernels
Joe Kileel · Matthew Trager · Joan Bruna
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #245
On the Inductive Bias of Neural Tangent Kernels
In Theory -- Spaces of Functions and Kernels
Alberto Bietti · Julien Mairal
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #246
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
In Deep Learning -- Predictive Models
Ali Sadeghian · Mohammadreza Armandpour · Patrick Ding · Daisy Zhe Wang
[ Paper]  [ Poster] 
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 114 + 115
Retrospectives: A Venue for Self-Reflection in ML Research
Ryan Lowe · Yoshua Bengio · Joelle Pineau · Michela Paganini · Jessica Forde · Shagun Sodhani · Abhishek Gupta · Joel Lehman · Peter Henderson · Kanika Madan · Koustuv Sinha · Xavier Bouthillier
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West Ballroom B
Meta-Learning
Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Ballroom C
Optimal Transport for Machine Learning
Marco Cuturi · Gabriel Peyré · Rémi Flamary · Alexandra Suvorikova
Workshop
Fri Dec 13 08:00 AM -- 06:40 PM (PST) @ West 306
EMC2: Energy Efficient Machine Learning and Cognitive Computing (5th edition)
Raj Parihar · Raj Parihar · Michael Goldfarb · Michael Goldfarb · Satyam Srivastava · TAO SHENG · Debajyoti Pal
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 116 + 117
Competition Track Day 1
Hugo Jair Escalante
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 301 - 305
Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications
Reinhard Heckel · Paul Hand · Richard Baraniuk · Joan Bruna · Alex Dimakis · Deanna Needell
Workshop
Fri Dec 13 08:00 AM -- 06:15 PM (PST) @ West 118 - 120
Workshop on Federated Learning for Data Privacy and Confidentiality
Lixin Fan · Jakub Konečný · Yang Liu · Brendan McMahan · Virginia Smith · Han Yu
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 109 + 110
KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
Veronika Thost · Christian Muise · Kartik Talamadupula · Sameer Singh · Christopher Ré
Workshop
Fri Dec 13 08:00 AM -- 06:40 PM (PST) @ West 223 + 224
Workshop on Human-Centric Machine Learning
Plamen P Angelov · Nuria Oliver · Adrian Weller · Manuel Rodriguez · Isabel Valera · Silvia Chiappa · Hoda Heidari · Niki Kilbertus
Workshop
Fri Dec 13 08:00 AM -- 06:45 PM (PST) @ West Exhibition Hall C
Bayesian Deep Learning
Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling
Workshop
Fri Dec 13 08:00 AM -- 06:40 PM (PST) @ West Ballroom A
Machine Learning for Health (ML4H): What makes machine learning in medicine different?
Andrew Beam · Tristan Naumann · Brett Beaulieu-Jones · Irene Y Chen · Madalina Fiterau · Samuel Finlayson · Emily Alsentzer · Adrian Dalca · Matthew McDermott
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Exhibition Hall A
Information Theory and Machine Learning
Shengjia Zhao · Jiaming Song · Yanjun Han · Kristy Choi · Pratyusha Kalluri · Ben Poole · Alex Dimakis · Jiantao Jiao · Tsachy Weissman · Stefano Ermon
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West Exhibition Hall A
Graph Representation Learning
Will Hamilton · Rianne van den Berg · Michael Bronstein · Stefanie Jegelka · Thomas Kipf · Jure Leskovec · Renjie Liao · Yizhou Sun · Petar Veličković
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 8 + 15
Minding the Gap: Between Fairness and Ethics
Igor Rubinov · Risi Kondor · Jack Poulson · Manfred K. Warmuth · Emanuel Moss · Alexa Hagerty
Workshop
Fri Dec 13 08:00 AM -- 06:15 PM (PST) @ West 202 - 204
Visually Grounded Interaction and Language
Florian Strub · Abhishek Das · Erik Wijmans · Harm de Vries · Stefan Lee · Alane Suhr · Dor Arad Hudson
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 211 - 214
Beyond first order methods in machine learning systems
Anastasios Kyrillidis · Albert Berahas · Fred Roosta · Michael Mahoney
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 208 + 209
Learning with Rich Experience: Integration of Learning Paradigms
Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 205 - 207
Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy
Alina Oprea · Avigdor Gal · Eren K. · Isabelle Moulinier · Jiahao Chen · Manuela Veloso · Senthil Kumar · Tanveer Faruquie
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West Ballroom C
Biological and Artificial Reinforcement Learning
Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Ballroom B
Learning Meaningful Representations of Life
Elizabeth Wood · Yakir Reshef · Jonathan Bloom · Jasper Snoek · Barbara Engelhardt · Scott Linderman · Suchi Saria · Alexander Wiltschko · Casey Greene · Chang Liu · Kresten Lindorff-Larsen · Debora Marks
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 1 - 3
Perception as generative reasoning: structure, causality, probability
Dan Rosenbaum · Marta Garnelo · Peter Battaglia · Kelsey Allen · Ilker Yildirim
Workshop
Fri Dec 13 08:00 AM -- 07:00 PM (PST) @ West 220 - 222
Shared Visual Representations in Human and Machine Intelligence
Arturo Deza · Joshua Peterson · Apurva Ratan Murty · Tom Griffiths
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 215 + 216
CiML 2019: Machine Learning Competitions for All
Adrienne Mendrik · Wei-Wei Tu · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 11 + 12
MLSys: Workshop on Systems for ML
Aparna Lakshmiratan · Siddhartha Sen · Joseph Gonzalez · Dan Crankshaw · Sarah Bird
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 121 + 122
Machine Learning for the Developing World (ML4D): Challenges and Risks
Maria De-Arteaga · Amanda Coston · Tejumade Afonja
Workshop
Fri Dec 13 08:00 AM -- 06:00 PM (PST) @ West 217 - 219
AI for Humanitarian Assistance and Disaster Response
Ritwik Gupta · Robin Murphy · Trevor Darrell · Eric Heim · Zhangyang Wang · Bryce Goodman · Piotr Biliński
Workshop
Fri Dec 13 08:00 AM -- 06:40 PM (PST) @ East Ballroom A
Safety and Robustness in Decision-making
Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow
Break
Fri Dec 13 09:45 AM -- 10:30 AM (PST)
Coffee Break
Break
Fri Dec 13 12:00 PM -- 02:00 PM (PST)
Lunch Break on your own
Workshop
Sat Dec 14 08:00 AM -- 06:30 PM (PST) @ West 109 + 110
Machine Learning and the Physical Sciences
Atilim Gunes Baydin · Juan Carrasquilla · Shirley Ho · Karthik Kashinath · Michela Paganini · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Roger Melko · Mr. Prabhat · Frank Wood
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 1 - 3
Machine Learning for Autonomous Driving
Rowan McAllister · Nicholas Rhinehart · Fisher Yu · Li Erran Li · Anca Dragan
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 202 - 204
ML For Systems
Milad Hashemi · Azalia Mirhoseini · Anna Goldie · Kevin Swersky · Xinlei XU · Jonathan Raiman · Jonathan Raiman
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 121 + 122
Science meets Engineering of Deep Learning
Levent Sagun · Caglar Gulcehre · Adriana Romero Soriano · Negar Rostamzadeh · Nando de Freitas
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West Ballroom A
The Optimization Foundations of Reinforcement Learning
Bo Dai · Niao He · Nicolas Le Roux · Lihong Li · Dale Schuurmans · Martha White
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 220 - 222
Robot Learning: Control and Interaction in the Real World
Roberto Calandra · Markus Wulfmeier · Kate Rakelly · Sanket Kamthe · Danica Kragic · Stefan Schaal · Markus Wulfmeier
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 215 + 216
Sets and Partitions
Nicholas Monath · Manzil Zaheer · Andrew McCallum · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 205 - 207
The third Conversational AI workshop – today's practice and tomorrow's potential
Alborz Geramifard · Jason Williams · Bill Byrne · Asli Celikyilmaz · Milica Gasic · Dilek Hakkani-Tur · Matt Henderson · Luis Lastras · Mari Ostendorf
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Ballroom C
Tackling Climate Change with ML
David Rolnick · Priya Donti · Lynn Kaack · Alexandre Lacoste · Tegan Maharaj · Andrew Ng · John Platt · Jennifer Chayes · Yoshua Bengio
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 223 + 224
NeurIPS Workshop on Machine Learning for Creativity and Design 3.0
Luba Elliott · Sander Dieleman · Adam Roberts · Jesse Engel · Tom White · Rebecca Fiebrink · Parag Mital · Christine McLeavey · Nao Tokui
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 116 + 117
Competition Track Day 2
Hugo Jair Escalante
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 114 + 115
Program Transformations for ML
Pascal Lamblin · Atilim Gunes Baydin · Alexander Wiltschko · Bart van Merriënboer · Emily Fertig · Barak Pearlmutter · David Duvenaud · Laurent Hascoet
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 208 + 209
Document Intelligence
Nigel Duffy · Rama Akkiraju · Tania Bedrax Weiss · Paul Bennett · Hamid Reza Motahari-Nezhad
Workshop
Sat Dec 14 08:00 AM -- 07:00 PM (PST) @ West Exhibition Hall C
Deep Reinforcement Learning
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 8 + 15
Privacy in Machine Learning (PriML)
Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 118 - 120
Emergent Communication: Towards Natural Language
Abhinav Gupta · Michael Noukhovitch · Cinjon Resnick · Natasha Jaques · Angelos Filos · Marie Ossenkopf · Angeliki Lazaridou · Jakob Foerster · Ryan Lowe · Douwe Kiela · Kyunghyun Cho
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 211 - 214
Learning Transferable Skills
Marwan Mattar · Arthur Juliani · Danny Lange · Matthew Crosby · Benjamin Beyret
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 217 - 219
Context and Compositionality in Biological and Artificial Neural Systems
Javier Turek · Shailee Jain · Alexander Huth · Leila Wehbe · Emma Strubell · Alan Yuille · Tal Linzen · Christopher Honey · Kyunghyun Cho
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Meeting Rooms 11 + 12
Joint Workshop on AI for Social Good
Fei Fang · Joseph Aylett-Bullock · Marc-Antoine Dilhac · Brian Green · natalie saltiel · Dhaval Adjodah · Jack Clark · Sean McGregor · Margaux Luck · Jonathan Penn · Tristan Sylvain · Geneviève Boucher · Sydney Swaine-Simon · Girmaw Abebe Tadesse · Myriam Côté · Anna Bethke · Yoshua Bengio
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West 306
Learning with Temporal Point Processes
Manuel Rodriguez · Le Song · Isabel Valera · Yan Liu · Abir De · Hongyuan Zha
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West Ballroom B
Machine Learning with Guarantees
Ben London · Gintare Karolina Dziugaite · Daniel Roy · Thorsten Joachims · Aleksander Madry · John Shawe-Taylor
Workshop
Sat Dec 14 08:00 AM -- 06:30 PM (PST) @ West Exhibition Hall A
Bridging Game Theory and Deep Learning
Ioannis Mitliagkas · Gauthier Gidel · Niao He · Reyhane Askari Hemmat · N H · Nika Haghtalab · Simon Lacoste-Julien
Workshop
Sat Dec 14 08:00 AM -- 06:45 PM (PST) @ West 301 - 305
Medical Imaging meets NeurIPS
Hervé Lombaert · Ben Glocker · Ender Konukoglu · Marleen de Bruijne · Aasa Feragen · Ipek Oguz · Jonas Teuwen
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ West Ballroom C
“Do the right thing”: machine learning and causal inference for improved decision making
Michele Santacatterina · Thorsten Joachims · Nathan Kallus · Adith Swaminathan · David Sontag · Angela Zhou
Workshop
Sat Dec 14 08:00 AM -- 06:00 PM (PST) @ East Ballroom B
Fair ML in Healthcare
Shalmali Joshi · Irene Y Chen · Ziad Obermeyer · Shems Saleh · Sendhil Mullainathan
Workshop
Sat Dec 14 08:00 AM -- 06:20 PM (PST) @ East Ballroom A
Real Neurons & Hidden Units: future directions at the intersection of neuroscience and AI
Guillaume Lajoie · Eli Shlizerman · Maximilian Puelma Touzel · Jessica Thompson · Konrad Kording
Break
Sat Dec 14 09:45 AM -- 10:30 AM (PST)
Coffee Break
Break
Sat Dec 14 12:00 PM -- 02:00 PM (PST)
Lunch on your own
Break
Sat Dec 14 03:30 PM -- 04:15 PM (PST)
Coffee Break
Break
Sat Dec 14 06:00 PM -- 10:00 PM (PST) @ East Meeting Rooms 1 - 3
Closing Reception (Quiet Space)
Break
Sat Dec 14 06:00 PM -- 10:00 PM (PST) @ East Exhibition Hall C
Closing Reception + Live Music