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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #1
Spline Filters For End-to-End Deep Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #2
Non-linear motor control by local learning in spiking neural networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #3
Implicit Quantile Networks for Distributional Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #4
An Inference-Based Policy Gradient Method for Learning Options
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #5
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #6
Differentially Private Matrix Completion Revisited
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #7
Differentiable plasticity: training plastic neural networks with backpropagation
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #8
Model-Level Dual Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #9
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #10
Tree Edit Distance Learning via Adaptive Symbol Embeddings
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #11
Gradually Updated Neural Networks for Large-Scale Image Recognition
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #12
One-Shot Segmentation in Clutter
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #13
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #14
Learning Deep ResNet Blocks Sequentially using Boosting Theory
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #15
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #16
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #17
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #18
Subspace Embedding and Linear Regression with Orlicz Norm
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #19
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #20
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #21
Learning the Reward Function for a Misspecified Model
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #22
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #23
Do Outliers Ruin Collaboration?
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #24
Dropout Training, Data-dependent Regularization, and Generalization Bounds
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #25
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #26
Continual Reinforcement Learning with Complex Synapses
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #27
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #28
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #29
Learning Diffusion using Hyperparameters
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #30
Learning a Mixture of Two Multinomial Logits
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #31
Crowdsourcing with Arbitrary Adversaries
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #32
Deep Density Destructors
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #33
Programmatically Interpretable Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #34
Structured Evolution with Compact Architectures for Scalable Policy Optimization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #35
The Weighted Kendall and High-order Kernels for Permutations
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #36
The Limits of Maxing, Ranking, and Preference Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #38
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #39
Clustering Semi-Random Mixtures of Gaussians
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #40
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #41
Learning by Playing - Solving Sparse Reward Tasks from Scratch
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #42
Structured Control Nets for Deep Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #43
Stagewise Safe Bayesian Optimization with Gaussian Processes
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #44
Bayesian Optimization of Combinatorial Structures
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #45
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #46
Dependent Relational Gamma Process Models for Longitudinal Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #47
K-means clustering using random matrix sparsification
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #48
Hierarchical Clustering with Structural Constraints
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #49
Kronecker Recurrent Units
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #50
Semi-Supervised Learning via Compact Latent Space Clustering
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #51
Dynamic Evaluation of Neural Sequence Models
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #52
TACO: Learning Task Decomposition via Temporal Alignment for Control
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #53
A Spectral Approach to Gradient Estimation for Implicit Distributions
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #54
Quasi-Monte Carlo Variational Inference
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #55
Learning to Optimize Combinatorial Functions
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #56
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #57
Representation Learning on Graphs with Jumping Knowledge Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #58
NetGAN: Generating Graphs via Random Walks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #59
INSPECTRE: Privately Estimating the Unseen
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #60
Locally Private Hypothesis Testing
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #61
Latent Space Policies for Hierarchical Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #62
More Robust Doubly Robust Off-policy Evaluation
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #63
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #64
End-to-end Active Object Tracking via Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #65
Efficient and Consistent Adversarial Bipartite Matching
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #66
SparseMAP: Differentiable Sparse Structured Inference
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #67
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #68
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #69
Parameterized Algorithms for the Matrix Completion Problem
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #70
Nearly Optimal Robust Subspace Tracking
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #71
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #72
signSGD: Compressed Optimisation for Non-Convex Problems
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #73
Synthesizing Robust Adversarial Examples
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #74
Differentiable Abstract Interpretation for Provably Robust Neural Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #75
Stochastic Training of Graph Convolutional Networks with Variance Reduction
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #76
Neural Relational Inference for Interacting Systems
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #77
Which Training Methods for GANs do actually Converge?
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #78
Learning Independent Causal Mechanisms
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #79
Nonconvex Optimization for Regression with Fairness Constraints
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #80
Fairness Without Demographics in Repeated Loss Minimization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #81
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #82
Nonoverlap-Promoting Variable Selection
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #83
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #84
Graph Networks as Learnable Physics Engines for Inference and Control
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #85
An Alternative View: When Does SGD Escape Local Minima?
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #86
Asynchronous Decentralized Parallel Stochastic Gradient Descent
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #87
An Estimation and Analysis Framework for the Rasch Model
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #88
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #89
Local Private Hypothesis Testing: Chi-Square Tests
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #90
Disentangling by Factorising
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #91
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #92
Learning to search with MCTSnets
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #93
Decoupled Parallel Backpropagation with Convergence Guarantee
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #94
On Learning Sparsely Used Dictionaries from Incomplete Samples
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #95
Variational Network Inference: Strong and Stable with Concrete Support
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #96
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #97
Data Summarization at Scale: A Two-Stage Submodular Approach
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #98
Best Arm Identification in Linear Bandits with Linear Dimension Dependency
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #99
Learning with Abandonment
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #100
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #101
Generative Temporal Models with Spatial Memory for Partially Observed Environments
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #102
DiCE: The Infinitely Differentiable Monte Carlo Estimator
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #103
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #104
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #105
Spotlight: Optimizing Device Placement for Training Deep Neural Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #106
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #107
Coordinated Exploration in Concurrent Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #108
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #109
Learning Steady-States of Iterative Algorithms over Graphs
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #110
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #111
Fair and Diverse DPP-Based Data Summarization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #112
Learning Implicit Generative Models with the Method of Learned Moments
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #113
Chi-square Generative Adversarial Network
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #114
Streaming Principal Component Analysis in Noisy Setting
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #115
Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #116
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #117
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #118
Stability and Generalization of Learning Algorithms that Converge to Global Optima
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #119
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #120
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #121
Fast Parametric Learning with Activation Memorization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #122
Essentially No Barriers in Neural Network Energy Landscape
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #123
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #124
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #125
Bayesian Quadrature for Multiple Related Integrals
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #126
Deep Predictive Coding Network for Object Recognition
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #127
Neural Inverse Rendering for General Reflectance Photometric Stereo
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #128
On the Relationship between Data Efficiency and Error for Uncertainty Sampling
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #129
Selecting Representative Examples for Program Synthesis
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #130
Conditional Neural Processes
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #131
Hierarchical Long-term Video Prediction without Supervision
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #132
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #133
A Classification-Based Study of Covariate Shift in GAN Distributions
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #134
Gated Path Planning Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #135
Automatic Goal Generation for Reinforcement Learning Agents
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #136
ADMM and Accelerated ADMM as Continuous Dynamical Systems
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #137
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #138
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #139
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #140
Fast Variance Reduction Method with Stochastic Batch Size
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #141
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #142
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #143
The Well-Tempered Lasso
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #144
Transfer Learning via Learning to Transfer
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #145
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #146
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #147
Deep One-Class Classification
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #148
Binary Partitions with Approximate Minimum Impurity
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #149
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #150
Yes, but Did It Work?: Evaluating Variational Inference
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #151
Black-Box Variational Inference for Stochastic Differential Equations
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #152
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #153
Learning to Speed Up Structured Output Prediction
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #154
Differentially Private Identity and Equivalence Testing of Discrete Distributions
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #155
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #156
BOCK : Bayesian Optimization with Cylindrical Kernels
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #157
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #158
Distributed Nonparametric Regression under Communication Constraints
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #159
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #160
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #161
Safe Element Screening for Submodular Function Minimization
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #162
Feedback-Based Tree Search for Reinforcement Learning
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #163
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #164
Data-Dependent Stability of Stochastic Gradient Descent
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #165
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #166
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #167
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #168
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #169
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #170
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #171
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #172
Path Consistency Learning in Tsallis Entropy Regularized MDPs
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #173
Lipschitz Continuity in Model-based Reinforcement Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #174___0
Bounds on the Approximation Power of Feedforward Neural Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #174___1
Linear Spectral Estimators and an Application to Phase Retrieval
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #175
Testing Sparsity over Known and Unknown Bases
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #176
Inference Suboptimality in Variational Autoencoders
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #177
Semi-Implicit Variational Inference
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #178
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #179
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #180
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #181
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #182
An Efficient Semismooth Newton based Algorithm for Convex Clustering
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #183
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #184
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #185
Efficient Neural Architecture Search via Parameters Sharing
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #186
Non-convex Conditional Gradient Sliding
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #187
Stochastic Variance-Reduced Cubic Regularized Newton Method
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Poster
Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #188
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #189
The Dynamics of Learning: A Random Matrix Approach
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #190
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #191
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #192
Continuous-Time Flows for Efficient Inference and Density Estimation
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #193
Tighter Variational Bounds are Not Necessarily Better
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #194
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #195
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #196
Differentiable Compositional Kernel Learning for Gaussian Processes
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #197
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #198
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #199
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #200
Anonymous Walk Embeddings
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #201
Improving Optimization in Models With Continuous Symmetry Breaking
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #202
Conditional Noise-Contrastive Estimation of Unnormalised Models
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #203
Canonical Tensor Decomposition for Knowledge Base Completion
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #204
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #205
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #206
Escaping Saddles with Stochastic Gradients
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #207
$D^2$: Decentralized Training over Decentralized Data
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #208
Machine Theory of Mind
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #209
Been There, Done That: Meta-Learning with Episodic Recall
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #210
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #211
Coded Sparse Matrix Multiplication
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #212
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #213
Efficient Gradient-Free Variational Inference using Policy Search
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #214
Fixing a Broken ELBO
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #215
Variational Inference and Model Selection with Generalized Evidence Bounds
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #216
The Generalization Error of Dictionary Learning with Moreau Envelopes
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Wed Jul 11 09:15 AM -- 12:00 PM (PDT) @ Hall B #217
Network Global Testing by Counting Graphlets
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