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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #1
Decoupled Neural Interfaces using Synthetic Gradients
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #2
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #3
Tight Bounds for Approximate Carathéodory and Beyond
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #4
Robust Adversarial Reinforcement Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #5
Robust Probabilistic Modeling with Bayesian Data Reweighting
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #6
Multi-objective Bandits: Optimizing the Generalized Gini Index
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #7
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #8
Enumerating Distinct Decision Trees
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #9
Understanding Synthetic Gradients and Decoupled Neural Interfaces
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #10
Parallel Multiscale Autoregressive Density Estimation
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #11
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #12
Minimax Regret Bounds for Reinforcement Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #13
Post-Inference Prior Swapping
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #14
Online Learning with Local Permutations and Delayed Feedback
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #15
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #16
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #17
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #18
Video Pixel Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #19
Global optimization of Lipschitz functions
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #20
Fairness in Reinforcement Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #21
Evaluating Bayesian Models with Posterior Dispersion Indices
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #22
Model-Independent Online Learning for Influence Maximization
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #23
Latent Feature Lasso
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #24
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #25
Learning Important Features Through Propagating Activation Differences
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #26
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #27
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #28
Boosted Fitted Q-Iteration
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #29
Automatic Discovery of the Statistical Types of Variables in a Dataset
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #30
Online Learning to Rank in Stochastic Click Models
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #31
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #32
Multi-Class Optimal Margin Distribution Machine
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #33
Evaluating the Variance of Likelihood-Ratio Gradient Estimators
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #34
Learning Texture Manifolds with the Periodic Spatial GAN
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #35
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #36
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #37
Bayesian Models of Data Streams with Hierarchical Power Priors
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #38
The Sample Complexity of Online One-Class Collaborative Filtering
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #39
Kernelized Support Tensor Machines
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #40
Equivariance Through Parameter-Sharing
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #41
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #42
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #43
Constrained Policy Optimization
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #44
Ordinal Graphical Models: A Tale of Two Approaches
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #45
Efficient Regret Minimization in Non-Convex Games
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #46
Coresets for Vector Summarization with Applications to Network Graphs
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #47
Recovery Guarantees for One-hidden-layer Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #48
Dual Supervised Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #49
Warped Convolutions: Efficient Invariance to Spatial Transformations
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #50
McGan: Mean and Covariance Feature Matching GAN
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #51
Breaking Locality Accelerates Block Gauss-Seidel
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #52
Reinforcement Learning with Deep Energy-Based Policies
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #53
Scalable Bayesian Rule Lists
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #54
Identify the Nash Equilibrium in Static Games with Random Payoffs
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #55
Partitioned Tensor Factorizations for Learning Mixed Membership Models
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #56
Failures of Gradient-Based Deep Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #57
Learning Infinite Layer Networks without the Kernel Trick
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #58
Graph-based Isometry Invariant Representation Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #59
Conditional Image Synthesis with Auxiliary Classifier GANs
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #60
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #61
Prediction and Control with Temporal Segment Models
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #62
Learning Determinantal Point Processes with Moments and Cycles
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #63
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #64
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #65
Analytical Guarantees on Numerical Precision of Deep Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #66
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #67
Deriving Neural Architectures from Sequence and Graph Kernels
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #68
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #69
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #70
An Alternative Softmax Operator for Reinforcement Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #71
Deep Bayesian Active Learning with Image Data
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #72
On Kernelized Multi-armed Bandits
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #73
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #74
Follow the Moving Leader in Deep Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #75
Logarithmic Time One-Against-Some
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #76
Unsupervised Learning by Predicting Noise
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #77
Wasserstein Generative Adversarial Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #78
Connected Subgraph Detection with Mirror Descent on SDPs
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #79
Fake News Mitigation via Point Process Based Intervention
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #80
Bayesian Boolean Matrix Factorisation
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #81
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #82
Frame-based Data Factorizations
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #83
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #84
Understanding Black-box Predictions via Influence Functions
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #85
Deep Transfer Learning with Joint Adaptation Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #86
Learning Hierarchical Features from Deep Generative Models
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #87
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #88
Curiosity-driven Exploration by Self-supervised Prediction
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #89
Learning the Structure of Generative Models without Labeled Data
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #90
Dueling Bandits with Weak Regret
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #91
Nearly Optimal Robust Matrix Completion
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #92
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #93
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #94
Meta Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #95
Bottleneck Conditional Density Estimation
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #96
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #97
Interactive Learning from Policy-Dependent Human Feedback
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #98
Learning to Discover Sparse Graphical Models
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #99
On Context-Dependent Clustering of Bandits
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #100
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #101
Convexified Convolutional Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #102
Self-Paced Co-training
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #103
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #104
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #105
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #106
End-to-End Differentiable Adversarial Imitation Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #107
Local-to-Global Bayesian Network Structure Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #108
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #109
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #110
On the Expressive Power of Deep Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #111
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #112
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #113
Zero-Inflated Exponential Family Embeddings
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #114
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #115
Learning in POMDPs with Monte Carlo Tree Search
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #116
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #117
Safety-Aware Algorithms for Adversarial Contextual Bandit
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #118
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #119
Depth-Width Tradeoffs in Approximating Natural Functions With Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #120
Iterative Machine Teaching
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #121
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #122
Convex Phase Retrieval without Lifting via PhaseMax
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #123
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #124
On Relaxing Determinism in Arithmetic Circuits
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #125
Adaptive Multiple-Arm Identification
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #126
Tensor Decomposition with Smoothness
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #127
Automated Curriculum Learning for Neural Networks
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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #128
Attentive Recurrent Comparators
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #129
An Infinite Hidden Markov Model With Similarity-Biased Transitions
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #130
Efficient Nonmyopic Active Search
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #131
Asymmetric Tri-training for Unsupervised Domain Adaptation
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #132
State-Frequency Memory Recurrent Neural Networks
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #133
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #134
Leveraging Union of Subspace Structure to Improve Constrained Clustering
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #135
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #136
Delta Networks for Optimized Recurrent Network Computation
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #137
From Patches to Images: A Nonparametric Generative Model
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #138
Active Heteroscedastic Regression
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #139
Multi-task Learning with Labeled and Unlabeled Tasks
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #140
Recurrent Highway Networks
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #141
Fast Bayesian Intensity Estimation for the Permanental Process
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #142
Active Learning for Cost-Sensitive Classification
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #143
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #144
A Birth-Death Process for Feature Allocation
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #145
Diameter-Based Active Learning
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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #146
Risk Bounds for Transferring Representations With and Without Fine-Tuning
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