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Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #1
Teaching Machines to Read and Comprehend
In Poster Session
Karl Moritz Hermann · Tomas Kocisky · Edward Grefenstette · Lasse Espeholt · Will Kay · Mustafa Suleyman · Phil Blunsom
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #2
Saliency, Scale and Information: Towards a Unifying Theory
In Poster Session
Shafin Rahman · Neil Bruce
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #3
Semi-supervised Learning with Ladder Networks
In Poster Session
Antti Rasmus · Mathias Berglund · Mikko Honkala · Harri Valpola · Tapani Raiko
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #4
Enforcing balance allows local supervised learning in spiking recurrent networks
In Poster Session
Ralph Bourdoukan · Sophie Denève
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #5
Semi-supervised Sequence Learning
In Poster Session
Andrew Dai · Quoc V Le
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #6
Skip-Thought Vectors
In Poster Session
Jamie Kiros · Yukun Zhu · Russ Salakhutdinov · Richard Zemel · Raquel Urtasun · Antonio Torralba · Sanja Fidler
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #7
Learning to Linearize Under Uncertainty
In Poster Session
Ross Goroshin · Michael Mathieu · Yann LeCun
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #8
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
In Poster Session
David Kappel · Stefan Habenschuss · Robert Legenstein · Wolfgang Maass
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #9
Natural Neural Networks
In Poster Session
Guillaume Desjardins · Karen Simonyan · Razvan Pascanu · koray kavukcuoglu
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #10
Convolutional Networks on Graphs for Learning Molecular Fingerprints
In Poster Session
David Duvenaud · Dougal Maclaurin · Jorge Iparraguirre · Rafael Bombarell · Timothy Hirzel · Alan Aspuru-Guzik · Ryan Adams
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #11
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
In Poster Session
Xingjian Shi · Zhourong Chen · Hao Wang · Dit-Yan Yeung · Wai-kin Wong · Wang-chun WOO
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #12
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
In Poster Session
Samy Bengio · Oriol Vinyals · Navdeep Jaitly · Noam Shazeer
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #13
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
In Poster Session
Been Kim · Julie A Shah · Finale Doshi-Velez
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #14
Max-Margin Deep Generative Models
In Poster Session
Chongxuan Li · Jun Zhu · Tim Shi · Bo Zhang
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #15
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
In Poster Session
Yuya Yoshikawa · Tomoharu Iwata · Hiroshi Sawada · Takeshi Yamada
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #16
A Gaussian Process Model of Quasar Spectral Energy Distributions
In Poster Session
Andrew Miller · Albert Wu · Jeffrey Regier · Jon McAuliffe · Dustin Lang · Mr. Prabhat · David Schlegel · Ryan Adams
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #17
Neural Adaptive Sequential Monte Carlo
In Poster Session
Shixiang (Shane) Gu · Zoubin Ghahramani · Richard Turner
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #18
Convolutional spike-triggered covariance analysis for neural subunit models
In Poster Session
Anqi Wu · Il Memming Park · Jonathan Pillow
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #19
Rectified Factor Networks
In Poster Session
Djork-Arné Clevert · Andreas Mayr · Thomas Unterthiner · Sepp Hochreiter
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #20
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
In Poster Session
Manuel Watter · Jost Springenberg · Joschka Boedecker · Martin Riedmiller
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #21
Bayesian dark knowledge
In Poster Session
Anoop Korattikara Balan · Vivek Rathod · Kevin Murphy · Max Welling
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #22
GP Kernels for Cross-Spectrum Analysis
In Poster Session
Kyle R Ulrich · David Carlson · Kafui Dzirasa · Lawrence Carin
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #23
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
In Poster Session
Jianshu Chen · Ji He · Yelong Shen · Lin Xiao · Xiaodong He · Jianfeng Gao · Xinying Song · Li Deng
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #24
Particle Gibbs for Infinite Hidden Markov Models
In Poster Session
Nilesh Tripuraneni · Shixiang (Shane) Gu · Hong Ge · Zoubin Ghahramani
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #25
Sparse Local Embeddings for Extreme Multi-label Classification
In Poster Session
Kush Bhatia · Himanshu Jain · Purushottam Kar · Manik Varma · Prateek Jain
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #26
Robust Spectral Inference for Joint Stochastic Matrix Factorization
In Poster Session
Moontae Lee · David Bindel · David Mimno
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #27
Space-Time Local Embeddings
In Poster Session
Ke SUN · Jun Wang · Alexandros Kalousis · Stephane Marchand-Maillet
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #28
A fast, universal algorithm to learn parametric nonlinear embeddings
In Poster Session
Miguel A. Carreira-Perpinan · Max Vladymyrov
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #29
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
In Poster Session
Mijung Park · Wittawat Jitkrittum · Ahmad Qamar · Zoltan Szabo · Lars Buesing · Maneesh Sahani
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #30
Local Causal Discovery of Direct Causes and Effects
In Poster Session
Tian Gao · Qiang Ji
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #31
Discriminative Robust Transformation Learning
In Poster Session
Jiaji Huang · Qiang Qiu · Guillermo Sapiro · Robert Calderbank
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #32
Max-Margin Majority Voting for Learning from Crowds
In Poster Session
TIAN TIAN · Jun Zhu
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #33
M-Best-Diverse Labelings for Submodular Energies and Beyond
In Poster Session
Alexander Kirillov · Dmytro Shlezinger · Dmitry Vetrov · Carsten Rother · Bogdan Savchynskyy
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #34
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
In Poster Session
Xiaocheng Shang · Zhanxing Zhu · Benedict Leimkuhler · Amos Storkey
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #35
Time-Sensitive Recommendation From Recurrent User Activities
In Poster Session
Nan Du · Yichen Wang · Niao He · Jimeng Sun · Le Song
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #36
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
In Poster Session
Akihiro Kishimoto · Radu Marinescu · Adi Botea
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #37
Logarithmic Time Online Multiclass prediction
In Poster Session
Anna Choromanska · John Langford
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #38
Scalable Semi-Supervised Aggregation of Classifiers
In Poster Session
Akshay Balsubramani · Yoav Freund
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #39
Bounding the Cost of Search-Based Lifted Inference
In Poster Session
David B Smith · Vibhav Gogate
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #40
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
In Poster Session
Joseph Wang · Kirill Trapeznikov · Venkatesh Saligrama
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #41
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
In Poster Session
Wenye Li
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #42
Sample Efficient Path Integral Control under Uncertainty
In Poster Session
Yunpeng Pan · Evangelos Theodorou · Michail Kontitsis
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #43
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
In Poster Session
Jaya Kawale · Hung H Bui · Branislav Kveton · Long Tran-Thanh · Sanjay Chawla
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #44
Parallelizing MCMC with Random Partition Trees
In Poster Session
Xiangyu Wang · Fangjian Guo · Katherine Heller · David B Dunson
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #45
Fast Lifted MAP Inference via Partitioning
In Poster Session
Somdeb Sarkhel · Parag Singla · Vibhav Gogate
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #46
Active Learning from Weak and Strong Labelers
In Poster Session
Chicheng Zhang · Kamalika Chaudhuri
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #47
Fast and Guaranteed Tensor Decomposition via Sketching
In Poster Session
Yining Wang · Hsiao-Yu Tung · Alexander Smola · Anima Anandkumar
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #48
Spherical Random Features for Polynomial Kernels
In Poster Session
Jeffrey Pennington · Felix Yu · Sanjiv Kumar
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #49
Learnability of Influence in Networks
In Poster Session
Harikrishna Narasimhan · David Parkes · Yaron Singer
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #50
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
In Poster Session
James R Voss · Mikhail Belkin · Luis Rademacher
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #51
Differentially private subspace clustering
In Poster Session
Yining Wang · Yu-Xiang Wang · Aarti Singh
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #52
Compressive spectral embedding: sidestepping the SVD
In Poster Session
Dinesh Ramasamy · Upamanyu Madhow
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #53
Generalization in Adaptive Data Analysis and Holdout Reuse
In Poster Session
Cynthia Dwork · Vitaly Feldman · Moritz Hardt · Toni Pitassi · Omer Reingold · Aaron Roth
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #54
Online F-Measure Optimization
In Poster Session
Róbert Busa-Fekete · Balázs Szörényi · Krzysztof Dembczynski · Eyke Hüllermeier
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #55
Matrix Completion with Noisy Side Information
In Poster Session
Kai-Yang Chiang · Cho-Jui Hsieh · Inderjit Dhillon
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #56
A Market Framework for Eliciting Private Data
In Poster Session
Bo Waggoner · Rafael Frongillo · Jacob D Abernethy
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #57
Optimal Ridge Detection using Coverage Risk
In Poster Session
Yen-Chi Chen · Christopher Genovese · Shirley Ho · Larry Wasserman
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #58
Fast Distributed k-Center Clustering with Outliers on Massive Data
In Poster Session
Gustavo Malkomes · Matt J Kusner · Wenlin Chen · Kilian Q Weinberger · Benjamin Moseley
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #59
Orthogonal NMF through Subspace Exploration
In Poster Session
Megasthenis Asteris · Dimitris Papailiopoulos · Alex Dimakis
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #60
Fast Classification Rates for High-dimensional Gaussian Generative Models
In Poster Session
Tianyang Li · Adarsh Prasad · Pradeep Ravikumar
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #61
Efficient and Parsimonious Agnostic Active Learning
In Poster Session
Tzu-Kuo Huang · Alekh Agarwal · Daniel Hsu · John Langford · Robert Schapire
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #62
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
In Poster Session
Nikhil Rao · Hsiang-Fu Yu · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #63
Less is More: Nyström Computational Regularization
In Poster Session
Alessandro Rudi · Raffaello Camoriano · Lorenzo Rosasco
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #64
Predtron: A Family of Online Algorithms for General Prediction Problems
In Poster Session
Prateek Jain · Nagarajan Natarajan · Ambuj Tewari
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #65
On the Optimality of Classifier Chain for Multi-label Classification
In Poster Session
Weiwei Liu · Ivor Tsang
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #66
Smooth Interactive Submodular Set Cover
In Poster Session
Bryan He · Yisong Yue
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #67
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
In Poster Session
Janne H Korhonen · Pekka Parviainen
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #68
Secure Multi-party Differential Privacy
In Poster Session
Peter Kairouz · Sewoong Oh · Pramod Viswanath
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #69
Adaptive Stochastic Optimization: From Sets to Paths
In Poster Session
Zhan Wei Lim · David Hsu · Wee Sun Lee
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #70
Learning structured densities via infinite dimensional exponential families
In Poster Session
Siqi Sun · Mladen Kolar · Jinbo Xu
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #71
Lifelong Learning with Non-i.i.d. Tasks
In Poster Session
Anastasia Pentina · Christoph Lampert
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #72
Learning with Symmetric Label Noise: The Importance of Being Unhinged
In Poster Session
Brendan van Rooyen · Aditya Menon · Robert Williamson
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #73
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
In Poster Session
Huasen Wu · R. Srikant · Xin Liu · Chong Jiang
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #74
From random walks to distances on unweighted graphs
In Poster Session
Tatsunori Hashimoto · Yi Sun · Tommi Jaakkola
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #75
Robust Regression via Hard Thresholding
In Poster Session
Kush Bhatia · Prateek Jain · Purushottam Kar
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #76
Column Selection via Adaptive Sampling
In Poster Session
Saurabh Paul · Malik Magdon-Ismail · Petros Drineas
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #77
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
In Poster Session
Yunwen Lei · Urun Dogan · Alexander Binder · Marius Kloft
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #78
Optimal Linear Estimation under Unknown Nonlinear Transform
In Poster Session
Xinyang Yi · Zhaoran Wang · Constantine Caramanis · Han Liu
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #79
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
In Poster Session
Yinlam Chow · Aviv Tamar · Shie Mannor · Marco Pavone
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #80
Learning with Incremental Iterative Regularization
In Poster Session
Lorenzo Rosasco · Silvia Villa
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #81
No-Regret Learning in Bayesian Games
In Poster Session
Jason Hartline · Vasilis Syrgkanis · Eva Tardos
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #82
Sparse and Low-Rank Tensor Decomposition
In Poster Session
Parikshit Shah · Nikhil Rao · Gongguo Tang
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #83
Analysis of Robust PCA via Local Incoherence
In Poster Session
Huishuai Zhang · Yi Zhou · Yingbin Liang
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #84
Algorithmic Stability and Uniform Generalization
In Poster Session
Ibrahim M Alabdulmohsin
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #85
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
In Poster Session
Daniel Hsu · Aryeh Kontorovich · Csaba Szepesvari
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #86
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
In Poster Session
Sohail Bahmani · Justin Romberg
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #87
Unified View of Matrix Completion under General Structural Constraints
In Poster Session
Suriya Gunasekar · Arindam Banerjee · Joydeep Ghosh
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #88
Copeland Dueling Bandits
In Poster Session
Masrour Zoghi · Zohar Karnin · Shimon Whiteson · Maarten de Rijke
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #89
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
In Poster Session
Junpei Komiyama · Junya Honda · Hiroshi Nakagawa
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #90
Online Learning for Adversaries with Memory: Price of Past Mistakes
In Poster Session
Oren Anava · Elad Hazan · Shie Mannor
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #91
Revenue Optimization against Strategic Buyers
In Poster Session
Mehryar Mohri · Andres Munoz
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #92
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
In Poster Session
Wei Cao · Jian Li · Yufei Tao · Zhize Li
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #93
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
In Poster Session
Ruoyu Sun · Mingyi Hong
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #94
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
In Poster Session
Julien Audiffren · Liva Ralaivola
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #95
Fighting Bandits with a New Kind of Smoothness
In Poster Session
Jacob D Abernethy · Chansoo Lee · Ambuj Tewari
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #96
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
In Poster Session
Sorathan Chaturapruek · John Duchi · Christopher Ré
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #97
The Pareto Regret Frontier for Bandits
In Poster Session
Tor Lattimore
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #98
Online Learning with Gaussian Payoffs and Side Observations
In Poster Session
Yifan Wu · András György · Csaba Szepesvari
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #99
Fast Rates for Exp-concave Empirical Risk Minimization
In Poster Session
Tomer Koren · Kfir Y. Levy
[ PDF] 
Poster
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ 210 C #100
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
In Poster Session
Theodoros Tsiligkaridis · Theodoros Tsiligkaridis · Keith Forsythe
[ PDF]