Toggle Poster Visibility
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Deep Reinforcement Learning from Human Preferences
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Thinking Fast and Slow with Deep Learning and Tree Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Natural Value Approximators: Learning when to Trust Past Estimates
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Active Exploration for Learning Symbolic Representations
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
State Aware Imitation Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Successor Features for Transfer in Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Bridging the Gap Between Value and Policy Based Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Compatible Reward Inverse Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
Adaptive Batch Size for Safe Policy Gradients
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
Regret Minimization in MDPs with Options without Prior Knowledge
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Is the Bellman residual a bad proxy?
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
Online Reinforcement Learning in Stochastic Games
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
Reinforcement Learning under Model Mismatch
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Zap Q-Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Ensemble Sampling
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
Action Centered Contextual Bandits
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Conservative Contextual Linear Bandits
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Identifying Outlier Arms in Multi-Armed Bandit
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Multi-Task Learning for Contextual Bandits
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Boltzmann Exploration Done Right
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Improving the Expected Improvement Algorithm
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
A KL-LUCB algorithm for Large-Scale Crowdsourcing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
Scalable Generalized Linear Bandits: Online Computation and Hashing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Bandits Dueling on Partially Ordered Sets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
Position-based Multiple-play Bandit Problem with Unknown Position Bias
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
Adaptive Active Hypothesis Testing under Limited Information
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
Overcoming Catastrophic Forgetting by Incremental Moment Matching
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Hypothesis Transfer Learning via Transformation Functions
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Learning multiple visual domains with residual adapters
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Self-supervised Learning of Motion Capture
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
Local Aggregative Games
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Learning Chordal Markov Networks via Branch and Bound
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Optimal Sample Complexity of M-wise Data for Top-K Ranking
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Translation Synchronization via Truncated Least Squares
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
From Bayesian Sparsity to Gated Recurrent Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Online Learning for Multivariate Hawkes Processes
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Efficient Second-Order Online Kernel Learning with Adaptive Embedding
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Nonparametric Online Regression while Learning the Metric
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Stochastic and Adversarial Online Learning without Hyperparameters
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
Affine-Invariant Online Optimization and the Low-rank Experts Problem
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Online Convex Optimization with Stochastic Constraints
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
Online Learning with a Hint
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
Efficient Online Linear Optimization with Approximation Algorithms
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Random Permutation Online Isotonic Regression
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Online Prediction with Selfish Experts
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Real-Time Bidding with Side Information
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
A General Framework for Robust Interactive Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
Practical Locally Private Heavy Hitters
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Deanonymization in the Bitcoin P2P Network
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #68
Renyi Differential Privacy Mechanisms for Posterior Sampling
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
Collecting Telemetry Data Privately
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
Generating steganographic images via adversarial training
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Fitting Low-Rank Tensors in Constant Time
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
Fair Clustering Through Fairlets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
On Fairness and Calibration
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Avoiding Discrimination through Causal Reasoning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Optimized Pre-Processing for Discrimination Prevention
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Recycling Privileged Learning and Distribution Matching for Fairness
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
From Parity to Preference-based Notions of Fairness in Classification
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
Beyond Parity: Fairness Objectives for Collaborative Filtering
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Multi-view Matrix Factorization for Linear Dynamical System Estimation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Random Projection Filter Bank for Time Series Data
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Predicting User Activity Level In Point Processes With Mass Transport Equation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
Off-policy evaluation for slate recommendation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
A multi-agent reinforcement learning model of common-pool resource appropriation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Balancing information exposure in social networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
Scalable Demand-Aware Recommendation
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
A Greedy Approach for Budgeted Maximum Inner Product Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
DPSCREEN: Dynamic Personalized Screening
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
Premise Selection for Theorem Proving by Deep Graph Embedding
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Style Transfer from Non-Parallel Text by Cross-Alignment
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Approximation and Convergence Properties of Generative Adversarial Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
Gradient descent GAN optimization is locally stable
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
f-GANs in an Information Geometric Nutshell
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
The Numerics of GANs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Generalizing GANs: A Turing Perspective
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Dualing GANs
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Learning to Pivot with Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Improved Training of Wasserstein GANs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
MMD GAN: Towards Deeper Understanding of Moment Matching Network
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Good Semi-supervised Learning That Requires a Bad GAN
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
Dual Discriminator Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
Triple Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
Triangle Generative Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Structured Generative Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
PixelGAN Autoencoders
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Learning to Compose Domain-Specific Transformations for Data Augmentation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
Unsupervised Image-to-Image Translation Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
Controllable Invariance through Adversarial Feature Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Adversarial Ranking for Language Generation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #123
Linear Time Computation of Moments in Sum-Product Networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
Attention is All you Need
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Masked Autoregressive Flow for Density Estimation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
End-to-End Differentiable Proving
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
A simple neural network module for relational reasoning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Dual Path Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Spherical convolutions and their application in molecular modelling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Deep Sets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
Self-Normalizing Neural Networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Nonlinear random matrix theory for deep learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Distral: Robust multitask reinforcement learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Imagination-Augmented Agents for Deep Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
Learning Combinatorial Optimization Algorithms over Graphs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Targeting EEG/LFP Synchrony with Neural Nets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Learning to See Physics via Visual De-animation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
Shape and Material from Sound
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
Quantifying how much sensory information in a neural code is relevant for behavior
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
Deep Hyperalignment
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Online Dynamic Programming
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Unsupervised Learning of Disentangled Representations from Video
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Interactive Submodular Bandit
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Minimizing a Submodular Function from Samples
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Process-constrained batch Bayesian optimisation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
The Marginal Value of Adaptive Gradient Methods in Machine Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Approximate Supermodularity Bounds for Experimental Design
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
On Blackbox Backpropagation and Jacobian Sensing
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Asynchronous Coordinate Descent under More Realistic Assumptions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
Clustering with Noisy Queries
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Approximation Algorithms for $\ell_0$-Low Rank Approximation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
Straggler Mitigation in Distributed Optimization Through Data Encoding
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
Safe Adaptive Importance Sampling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Sharpness, Restart and Acceleration
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Min-Max Propagation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
Concrete Dropout
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Hierarchical Implicit Models and Likelihood-Free Variational Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Perturbative Black Box Variational Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Experimental Design for Learning Causal Graphs with Latent Variables
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
Permutation-based Causal Inference Algorithms with Interventions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Learning Causal Structures Using Regression Invariance
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
Counterfactual Fairness
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Causal Effect Inference with Deep Latent-Variable Models
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
Conic Scan-and-Cover algorithms for nonparametric topic modeling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Tractability in Structured Probability Spaces
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Adaptive Bayesian Sampling with Monte Carlo EM
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Reliable Decision Support using Counterfactual Models
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Multi-Information Source Optimization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
Doubly Stochastic Variational Inference for Deep Gaussian Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Convolutional Gaussian Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Multiresolution Kernel Approximation for Gaussian Process Regression
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
Repeated Inverse Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Inverse Reward Design
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Dynamic-Depth Context Tree Weighting
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
Spectrally-normalized margin bounds for neural networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
Collaborative PAC Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Discriminative State Space Models
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Countering Feedback Delays in Multi-Agent Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
Variance-based Regularization with Convex Objectives
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Learning Mixture of Gaussians with Streaming Data
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
On the Consistency of Quick Shift
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
The Scaling Limit of High-Dimensional Online Independent Component Analysis
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Convergence of Gradient EM on Multi-component Mixture of Gaussians
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
Online control of the false discovery rate with decaying memory
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
Learning with Bandit Feedback in Potential Games
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
Revenue Optimization with Approximate Bid Predictions
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
A Decomposition of Forecast Error in Prediction Markets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Dynamic Revenue Sharing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Multi-View Decision Processes: The Helper-AI Problem
In
Posters Wed