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Indicates the beginning of a session

 Mon Aug 07, 2017

Time Gallery
06:30 PM (Posters)
Decoupled Neural Interfaces using Synthetic Gradients Gallery #1
PixelCNN Models with Auxiliary Variables for Natural Image Modeling Gallery #2
Tight Bounds for Approximate Carathéodory and Beyond Gallery #3
Robust Adversarial Reinforcement Learning Gallery #4
Robust Probabilistic Modeling with Bayesian Data Reweighting Gallery #5
Multi-objective Bandits: Optimizing the Generalized Gini Index Gallery #6
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis Gallery #7
Enumerating Distinct Decision Trees Gallery #8
Understanding Synthetic Gradients and Decoupled Neural Interfaces Gallery #9
Parallel Multiscale Autoregressive Density Estimation Gallery #10
Oracle Complexity of Second-Order Methods for Finite-Sum Problems Gallery #11
Minimax Regret Bounds for Reinforcement Learning Gallery #12
Post-Inference Prior Swapping Gallery #13
Online Learning with Local Permutations and Delayed Feedback Gallery #14
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling Gallery #15
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation Gallery #16
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting Gallery #17
Video Pixel Networks Gallery #18
Global optimization of Lipschitz functions Gallery #19
Fairness in Reinforcement Learning Gallery #20
Evaluating Bayesian Models with Posterior Dispersion Indices Gallery #21
Model-Independent Online Learning for Influence Maximization Gallery #22
Latent Feature Lasso Gallery #23
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things Gallery #24
Learning Important Features Through Propagating Activation Differences Gallery #25
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks Gallery #26
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions Gallery #27
Boosted Fitted Q-Iteration Gallery #28
Automatic Discovery of the Statistical Types of Variables in a Dataset Gallery #29
Online Learning to Rank in Stochastic Click Models Gallery #30
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability Gallery #31
Multi-Class Optimal Margin Distribution Machine Gallery #32
Evaluating the Variance of Likelihood-Ratio Gradient Estimators Gallery #33
Learning Texture Manifolds with the Periodic Spatial GAN Gallery #34
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence Gallery #35
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Gallery #36
Bayesian Models of Data Streams with Hierarchical Power Priors Gallery #37
The Sample Complexity of Online One-Class Collaborative Filtering Gallery #38
Kernelized Support Tensor Machines Gallery #39
Equivariance Through Parameter-Sharing Gallery #40
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Gallery #41
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization Gallery #42
Constrained Policy Optimization Gallery #43
Ordinal Graphical Models: A Tale of Two Approaches Gallery #44
Efficient Regret Minimization in Non-Convex Games Gallery #45
Coresets for Vector Summarization with Applications to Network Graphs Gallery #46
Recovery Guarantees for One-hidden-layer Neural Networks Gallery #47
Dual Supervised Learning Gallery #48
Warped Convolutions: Efficient Invariance to Spatial Transformations Gallery #49
McGan: Mean and Covariance Feature Matching GAN Gallery #50
Breaking Locality Accelerates Block Gauss-Seidel Gallery #51
Reinforcement Learning with Deep Energy-Based Policies Gallery #52
Scalable Bayesian Rule Lists Gallery #53
Identify the Nash Equilibrium in Static Games with Random Payoffs Gallery #54
Partitioned Tensor Factorizations for Learning Mixed Membership Models Gallery #55
Failures of Gradient-Based Deep Learning Gallery #56
Learning Infinite Layer Networks without the Kernel Trick Gallery #57
Graph-based Isometry Invariant Representation Learning Gallery #58
Conditional Image Synthesis with Auxiliary Classifier GANs Gallery #59
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification Gallery #60
Prediction and Control with Temporal Segment Models Gallery #61
Learning Determinantal Point Processes with Moments and Cycles Gallery #62
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU Gallery #63
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations Gallery #64
Analytical Guarantees on Numerical Precision of Deep Neural Networks Gallery #65
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Gallery #66
Deriving Neural Architectures from Sequence and Graph Kernels Gallery #67
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Gallery #68
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares Gallery #69
An Alternative Softmax Operator for Reinforcement Learning Gallery #70
Deep Bayesian Active Learning with Image Data Gallery #71
On Kernelized Multi-armed Bandits Gallery #72
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates Gallery #73
Follow the Moving Leader in Deep Learning Gallery #74
Logarithmic Time One-Against-Some Gallery #75
Unsupervised Learning by Predicting Noise Gallery #76
Wasserstein Generative Adversarial Networks Gallery #77
Connected Subgraph Detection with Mirror Descent on SDPs Gallery #78
Fake News Mitigation via Point Process Based Intervention Gallery #79
Bayesian Boolean Matrix Factorisation Gallery #80
Second-Order Kernel Online Convex Optimization with Adaptive Sketching Gallery #81
Frame-based Data Factorizations Gallery #82
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Gallery #83
Understanding Black-box Predictions via Influence Functions Gallery #84
Deep Transfer Learning with Joint Adaptation Networks Gallery #85
Learning Hierarchical Features from Deep Generative Models Gallery #86
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks Gallery #87
Curiosity-driven Exploration by Self-supervised Prediction Gallery #88
Learning the Structure of Generative Models without Labeled Data Gallery #89
Dueling Bandits with Weak Regret Gallery #90
Nearly Optimal Robust Matrix Completion Gallery #91
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs Gallery #92
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method Gallery #93
Meta Networks Gallery #94
Bottleneck Conditional Density Estimation Gallery #95
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms Gallery #96
Interactive Learning from Policy-Dependent Human Feedback Gallery #97
Learning to Discover Sparse Graphical Models Gallery #98
On Context-Dependent Clustering of Bandits Gallery #99
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations Gallery #100
Convexified Convolutional Neural Networks Gallery #101
Self-Paced Co-training Gallery #102
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization Gallery #103
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo Gallery #104
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization Gallery #105
End-to-End Differentiable Adversarial Imitation Learning Gallery #106
Local-to-Global Bayesian Network Structure Learning Gallery #107
Provably Optimal Algorithms for Generalized Linear Contextual Bandits Gallery #108
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Gallery #109
On the Expressive Power of Deep Neural Networks Gallery #110
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data Gallery #111
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Gallery #112
Zero-Inflated Exponential Family Embeddings Gallery #113
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates Gallery #114
Learning in POMDPs with Monte Carlo Tree Search Gallery #115
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data Gallery #116
Safety-Aware Algorithms for Adversarial Contextual Bandit Gallery #117
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery Gallery #118
Depth-Width Tradeoffs in Approximating Natural Functions With Neural Networks Gallery #119
Iterative Machine Teaching Gallery #120
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Gallery #121
Convex Phase Retrieval without Lifting via PhaseMax Gallery #122
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning Gallery #123
On Relaxing Determinism in Arithmetic Circuits Gallery #124
Adaptive Multiple-Arm Identification Gallery #125
Tensor Decomposition with Smoothness Gallery #126
Automated Curriculum Learning for Neural Networks Gallery #127
Attentive Recurrent Comparators Gallery #128
An Infinite Hidden Markov Model With Similarity-Biased Transitions Gallery #129
Efficient Nonmyopic Active Search Gallery #130
Asymmetric Tri-training for Unsupervised Domain Adaptation Gallery #131
State-Frequency Memory Recurrent Neural Networks Gallery #132
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Gallery #133
Leveraging Union of Subspace Structure to Improve Constrained Clustering Gallery #134
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression Gallery #135
Delta Networks for Optimized Recurrent Network Computation Gallery #136
From Patches to Images: A Nonparametric Generative Model Gallery #137
Active Heteroscedastic Regression Gallery #138
Multi-task Learning with Labeled and Unlabeled Tasks Gallery #139
Recurrent Highway Networks Gallery #140
Fast Bayesian Intensity Estimation for the Permanental Process Gallery #141
Active Learning for Cost-Sensitive Classification Gallery #142
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Gallery #143
A Birth-Death Process for Feature Allocation Gallery #144
Diameter-Based Active Learning Gallery #145
Risk Bounds for Transferring Representations With and Without Fine-Tuning Gallery #146