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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #1
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #2
Manifold Mixup: Better Representations by Interpolating Hidden States
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #3
Processing Megapixel Images with Deep Attention-Sampling Models
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #4
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #5
Online Meta-Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #6
Training Neural Networks with Local Error Signals
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #7
GMNN: Graph Markov Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #8
Self-Attention Graph Pooling
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #9
Combating Label Noise in Deep Learning using Abstention
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #10
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #11
Self-Attention Generative Adversarial Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #12
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #13
High-Fidelity Image Generation With Fewer Labels
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #14
Revisiting precision recall definition for generative modeling
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #15
Wasserstein of Wasserstein Loss for Learning Generative Models
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #16
Flat Metric Minimization with Applications in Generative Modeling
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #17
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #18
Non-Parametric Priors For Generative Adversarial Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #19
Lipschitz Generative Adversarial Nets
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #20
HexaGAN: Generative Adversarial Nets for Real World Classification
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #21
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #22
BayesNAS: A Bayesian Approach for Neural Architecture Search
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #23
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #24
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #26
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #28
The Evolved Transformer
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #29
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #30
Stochastic Deep Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #31
ELF OpenGo: an analysis and open reimplementation of AlphaZero
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #32
Making Deep Q-learning methods robust to time discretization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #33
Nonlinear Distributional Gradient Temporal-Difference Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #34
Composing Entropic Policies using Divergence Correction
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #35
TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #36
Multi-Agent Adversarial Inverse Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #37
Policy Consolidation for Continual Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #38
Off-Policy Deep Reinforcement Learning without Exploration
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #39
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #40
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #41
An Investigation of Model-Free Planning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #42
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #43
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #44
Diagnosing Bottlenecks in Deep Q-learning Algorithms
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #45
Collaborative Evolutionary Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #46
EMI: Exploration with Mutual Information
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #47
Imitation Learning from Imperfect Demonstration
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #48
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #49
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #50
Fingerprint Policy Optimisation for Robust Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #51
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #52
Differentiable Linearized ADMM
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #53
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #54
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #55
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #56
AdaGrad stepsizes: sharp convergence over nonconvex landscapes
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #57
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #58
SWALP : Stochastic Weight Averaging in Low Precision Training
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #59
Efficient optimization of loops and limits with randomized telescoping sums
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #60
Self-similar Epochs: Value in arrangement
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #61
Adversarial Attacks on Node Embeddings via Graph Poisoning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #62
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #63
On Certifying Non-Uniform Bounds against Adversarial Attacks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #64
Improving Adversarial Robustness via Promoting Ensemble Diversity
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #65
Adversarial camera stickers: A physical camera-based attack on deep learning systems
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #66
Adversarial examples from computational constraints
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #67
POPQORN: Quantifying Robustness of Recurrent Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #68
Using Pre-Training Can Improve Model Robustness and Uncertainty
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #69
Generalized No Free Lunch Theorem for Adversarial Robustness
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #70
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #71
On Learning Invariant Representations for Domain Adaptation
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #72
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #73
Adversarial Generation of Time-Frequency Features with application in audio synthesis
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #74
On the Universality of Invariant Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #75
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #76
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #77
Feature-Critic Networks for Heterogeneous Domain Generalization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #78
Learning to Convolve: A Generalized Weight-Tying Approach
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #79
On Dropout and Nuclear Norm Regularization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #80
Gradient Descent Finds Global Minima of Deep Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #81
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #82
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #83
Compressing Gradient Optimizers via Count-Sketches
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #84
Scalable Fair Clustering
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #85
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #86
Fault Tolerance in Iterative-Convergent Machine Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #87
Static Automatic Batching In TensorFlow
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #88
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #89
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #90
DL2: Training and Querying Neural Networks with Logic
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #91
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #92
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #93
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #94
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #95
Nonconvex Variance Reduced Optimization with Arbitrary Sampling
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #96
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #97
A Composite Randomized Incremental Gradient Method
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #98
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #99
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #100
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #101
Safe Policy Improvement with Baseline Bootstrapping
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #102
Distributional Reinforcement Learning for Efficient Exploration
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #103
Optimistic Policy Optimization via Multiple Importance Sampling
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #104
Neural Logic Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #105
Learning to Collaborate in Markov Decision Processes
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #106
Predictor-Corrector Policy Optimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #107
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #108
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #109
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #110
Learning from a Learner
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #111
Separable value functions across time-scales
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #112
Learning Action Representations for Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #113
Bayesian Counterfactual Risk Minimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #114
Per-Decision Option Discounting
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #115
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #116
A Theory of Regularized Markov Decision Processes
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #117
Discovering Options for Exploration by Minimizing Cover Time
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #118
Policy Certificates: Towards Accountable Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #119
The Value Function Polytope in Reinforcement Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #120
Data Shapley: Equitable Valuation of Data for Machine Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #121
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #122
Metric-Optimized Example Weights
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #123
Improving Model Selection by Employing the Test Data
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124
Topological Data Analysis of Decision Boundaries with Application to Model Selection
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #125
Contextual Memory Trees
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #126
Sparse Extreme Multi-label Learning with Oracle Property
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #127
Shape Constraints for Set Functions
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #128
On The Power of Curriculum Learning in Training Deep Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #129
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #130
Robust Decision Trees Against Adversarial Examples
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #131
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #132
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #133
Optimal Transport for structured data with application on graphs
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #134
Learning Optimal Linear Regularizers
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #135
On Symmetric Losses for Learning from Corrupted Labels
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #136
AUCµ: A Performance Metric for Multi-Class Machine Learning Models
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #137
Regularization in directable environments with application to Tetris
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #138
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #139
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #140
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #141
Collaborative Channel Pruning for Deep Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #142
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #143
GDPP: Learning Diverse Generations using Determinantal Point Processes
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #144
Co-Representation Network for Generalized Zero-Shot Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #145
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #146
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #147
Geometry Aware Convolutional Filters for Omnidirectional Images Representation
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #148
A Personalized Affective Memory Model for Improving Emotion Recognition
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #149
Temporal Gaussian Mixture Layer for Videos
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #150
Regret Circuits: Composability of Regret Minimizers
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #151
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #152
Stable-Predictive Optimistic Counterfactual Regret Minimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #153
When Samples Are Strategically Selected
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #154
Statistical Foundations of Virtual Democracy
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #155
Optimal Auctions through Deep Learning
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #156
Learning to Clear the Market
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #157
Learning to bid in revenue-maximizing auctions
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #158
Open-ended learning in symmetric zero-sum games
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #159
Deep Counterfactual Regret Minimization
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #160
Generalized Approximate Survey Propagation for High-Dimensional Estimation
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #161
Boosted Density Estimation Remastered
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #162
Inference and Sampling of $K_{33}$-free Ising Models
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Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #163
Random Matrix Improved Covariance Estimation for a Large Class of Metrics
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #164
Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #165
Neural Joint Source-Channel Coding
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #166
Doubly-Competitive Distribution Estimation
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #167
Homomorphic Sensing
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #168
Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #169
Rate Distortion For Model Compression:From Theory To Practice
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #170
Formal Privacy for Functional Data with Gaussian Perturbations
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #171
Graphical-model based estimation and inference for differential privacy
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #172
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #173
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #174
Sublinear Space Private Algorithms Under the Sliding Window Model
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #175
Locally Private Bayesian Inference for Count Models
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #176
Low Latency Privacy Preserving Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #177
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #178
Poission Subsampled R\'enyi Differential Privacy
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #179
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #180
Refined Complexity of PCA with Outliers
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #181
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #182
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #183
Teaching a black-box learner
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #184
PAC Learnability of Node Functions in Networked Dynamical Systems
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #185
Online learning with kernel losses
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #186
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #187
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #188
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #189
Maximum Likelihood Estimation for Learning Populations of Parameters
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #190
Projection onto Minkowski Sums with Application to Constrained Learning
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #191
Blended Conditonal Gradients
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #192
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #193
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #194
A Conditional-Gradient-Based Augmented Lagrangian Framework
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #195
SGD: General Analysis and Improved Rates
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #196
Curvature-Exploiting Acceleration of Elastic Net Computations
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #197
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom
Safe Grid Search with Optimal Complexity
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #199
SAGA with Arbitrary Sampling
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #200
Natural Analysts in Adaptive Data Analysis
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #201
CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #202
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #203
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #204
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #205
The Implicit Fairness Criterion of Unconstrained Learning
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #206
Weak Detection of Signal in the Spiked Wigner Model
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #207
Rademacher Complexity for Adversarially Robust Generalization
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #208
Provably efficient RL with Rich Observations via Latent State Decoding
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #209
Information-Theoretic Considerations in Batch Reinforcement Learning
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #210
A Contrastive Divergence for Combining Variational Inference and MCMC
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #211
Calibrated Approximate Bayesian Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #212
Moment-Based Variational Inference for Markov Jump Processes
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #213
Understanding MCMC Dynamics as Flows on the Wasserstein Space
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #214
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #215
Amortized Monte Carlo Integration
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #216
Stein Point Markov Chain Monte Carlo
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #217
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #218
Particle Flow Bayes' Rule
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #219
Correlated Variational Auto-Encoders
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #220
Towards a Unified Analysis of Random Fourier Features
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #221
Learning deep kernels for exponential family densities
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #222
Bayesian Deconditional Kernel Mean Embeddings
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #223
A Kernel Perspective for Regularizing Deep Neural Networks
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #224
A Persistent Weisfeiler--Lehman Procedure for Graph Classification
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #225
Rehashing Kernel Evaluation in High Dimensions
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #226
Large-Scale Sparse Kernel Canonical Correlation Analysis
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #227
A Kernel Theory of Modern Data Augmentation
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #228
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #229
Scalable Learning in Reproducing Kernel Krein Spaces
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #230
Dirichlet Simplex Nest and Geometric Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #231
Bayesian leave-one-out cross-validation for large data
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #232
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #233
Neurally-Guided Structure Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #234
Bayesian Joint Spike-and-Slab Graphical Lasso
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #235
Rotation Invariant Householder Parameterization for Bayesian PCA
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #236
A Framework for Bayesian Optimization in Embedded Subspaces
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #237
Convolutional Poisson Gamma Belief Network
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #238
Automatic Posterior Transformation for Likelihood-Free Inference
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #239
Active Learning for Decision-Making from Imbalanced Observational Data
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #240
Validating Causal Inference Models via Influence Functions
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #241
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #242
Learning to Groove with Inverse Sequence Transformations
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #243
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #244
HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #245
Molecular Hypergraph Grammar with Its Application to Molecular Optimization
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #246
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom
Learning to Prove Theorems via Interacting with Proof Assistants
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #248
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #249
Learning to Optimize Multigrid PDE Solvers
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #250
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #251
Learning Hawkes Processes Under Synchronization Noise
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #252
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #253
A Statistical Investigation of Long Memory in Language and Music
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #254
Deep Factors for Forecasting
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #255
Weakly-Supervised Temporal Localization via Occurrence Count Learning
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #256
Switching Linear Dynamics for Variational Bayes Filtering
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #257
Imputing Missing Events in Continuous-Time Event Streams
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #258
Understanding and Controlling Memory in Recurrent Neural Networks
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #259
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #260
Subspace Robust Wasserstein Distances
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #261
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #262
Active Manifolds: A non-linear analogue to Active Subspaces
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #263
Optimal Minimal Margin Maximization with Boosting
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #264
Generalized Linear Rule Models
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #265
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #266
Variational Inference for sparse network reconstruction from count data
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #267
Simplifying Graph Convolutional Networks
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #268
Robust Influence Maximization for Hyperparametric Models
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #269
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 06:50 PM (PDT) @ Pacific Ballroom #270
Rates of Convergence for Sparse Variational Gaussian Process Regression
In
Posters Tue
Poster
Tue Jun 11 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #271
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
In
Posters Tue
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #1
Sum-of-Squares Polynomial Flow
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #2
FloWaveNet : A Generative Flow for Raw Audio
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #3
Are Generative Classifiers More Robust to Adversarial Attacks?
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #4
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #5
Disentangling Disentanglement in Variational Autoencoders
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #6
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #7
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #8
Emerging Convolutions for Generative Normalizing Flows
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #9
A Large-Scale Study on Regularization and Normalization in GANs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #10
Variational Annealing of GANs: A Langevin Perspective
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #11
Invertible Residual Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #12
NAS-Bench-101: Towards Reproducible Neural Architecture Search
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #13
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #14
LegoNet: Efficient Convolutional Neural Networks with Lego Filters
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #15
Sorting Out Lipschitz Function Approximation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #16
Graph Element Networks: adaptive, structured computation and memory
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #17
Training CNNs with Selective Allocation of Channels
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #18
Equivariant Transformer Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #19
Overcoming Multi-model Forgetting
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #20
Bayesian Nonparametric Federated Learning of Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #21
How does Disagreement Help Generalization against Label Corruption?
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #22
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #23
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #24
Deep Compressed Sensing
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #25
Differentiable Dynamic Normalization for Learning Deep Representation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #26
Toward Understanding the Importance of Noise in Training Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #27
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #28
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #29
Understanding the Impact of Entropy on Policy Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #30
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #31
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #32
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #33
Imitating Latent Policies from Observation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #34
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #35
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #36
Structured agents for physical construction
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #37
Learning Novel Policies For Tasks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #38
Taming MAML: Efficient unbiased meta-reinforcement learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #39
Self-Supervised Exploration via Disagreement
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #40
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #41
The Natural Language of Actions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #42
Control Regularization for Reduced Variance Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #43
On the Generalization Gap in Reparameterizable Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #44
Trajectory-Based Off-Policy Deep Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #45
A Deep Reinforcement Learning Perspective on Internet Congestion Control
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #46
Model-Based Active Exploration
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #47
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #48
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #49
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #50
Remember and Forget for Experience Replay
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #51
Tensor Variable Elimination for Plated Factor Graphs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #52
Predicate Exchange: Inference with Declarative Knowledge
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #53
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #54
Hierarchical Decompositional Mixtures of Variational Autoencoders
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #55
Finding Mixed Nash Equilibria of Generative Adversarial Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #56
CompILE: Compositional Imitation Learning and Execution
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #57
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #58
Deep Generative Learning via Variational Gradient Flow
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #59
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #60
Learning Neurosymbolic Generative Models via Program Synthesis
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #61
Theoretically Principled Trade-off between Robustness and Accuracy
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #62
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #63
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #64
Certified Adversarial Robustness via Randomized Smoothing
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #65
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #66
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #67
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #68
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #69
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #70
Simple Black-box Adversarial Attacks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #71
Causal Identification under Markov Equivalence: Completeness Results
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #72
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #73
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #74
Classifying Treatment Responders Under Causal Effect Monotonicity
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #75
Learning Models from Data with Measurement Error: Tackling Underreporting
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #76
Adjustment Criteria for Generalizing Experimental Findings
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #77
Conditional Independence in Testing Bayesian Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #78
Sensitivity Analysis of Linear Structural Causal Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #79
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #80
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #81
Adversarially Learned Representations for Information Obfuscation and Inference
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #82
Adaptive Neural Trees
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #83
Connectivity-Optimized Representation Learning via Persistent Homology
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #84
Minimal Achievable Sufficient Statistic Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #85
Learning to Route in Similarity Graphs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #86
Invariant-Equivariant Representation Learning for Multi-Class Data
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #87
Infinite Mixture Prototypes for Few-shot Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #88
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #89
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #90
Exploration Conscious Reinforcement Learning Revisited
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #91
Complexity of Linear Regions in Deep Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #92
On Connected Sublevel Sets in Deep Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #93
Adversarial Examples Are a Natural Consequence of Test Error in Noise
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #94
Greedy Layerwise Learning Can Scale To ImageNet
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #95
On the Impact of the Activation function on Deep Neural Networks Training
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #96
Estimating Information Flow in Deep Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #97
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #98
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #99
Understanding Geometry of Encoder-Decoder CNNs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #100
Traditional and Heavy Tailed Self Regularization in Neural Network Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #101
Almost surely constrained convex optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #102
Generalized Majorization-Minimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #103
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #104
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #105
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #106
Efficient Dictionary Learning with Gradient Descent
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #107
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #108
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #109
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #110
Alternating Minimizations Converge to Second-Order Optimal Solutions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #111
Provably Efficient Imitation Learning from Observation Alone
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #112
Dead-ends and Secure Exploration in Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #113
Statistics and Samples in Distributional Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #114
Hessian Aided Policy Gradient
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #115
Provably Efficient Maximum Entropy Exploration
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #116
Combining parametric and nonparametric models for off-policy evaluation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #117
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #118
Transfer of Samples in Policy Search via Multiple Importance Sampling
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #119
Action Robust Reinforcement Learning and Applications in Continuous Control
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #120
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #121
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #122
Target Tracking for Contextual Bandits: Application to Demand Side Management
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #123
Correlated bandits or: How to minimize mean-squared error online
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #125
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #126
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #127
Bilinear Bandits with Low-rank Structure
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #128
Online Learning to Rank with Features
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #129
On the Design of Estimators for Bandit Off-Policy Evaluation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #130
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #131
Context-Aware Zero-Shot Learning for Object Recognition
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #132
Band-limited Training and Inference for Convolutional Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #133
Learning Classifiers for Target Domain with Limited or No Labels
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #134
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #135
Anomaly Detection With Multiple-Hypotheses Predictions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #136
Kernel Mean Matching for Content Addressability of GANs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #137
Neural Inverse Knitting: From Images to Manufacturing Instructions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #138
Making Convolutional Networks Shift-Invariant Again
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #139
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #140
IMEXnet - A Forward Stable Deep Neural Network
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #141
Do ImageNet Classifiers Generalize to ImageNet?
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #142
Exploring the Landscape of Spatial Robustness
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #143
Sever: A Robust Meta-Algorithm for Stochastic Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #144
Analyzing Federated Learning through an Adversarial Lens
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #145
Fairwashing: the risk of rationalization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #146
Understanding the Origins of Bias in Word Embeddings
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #147
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #148
Interpreting Adversarially Trained Convolutional Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #149
Counterfactual Visual Explanations
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #150
Data Poisoning Attacks on Stochastic Bandits
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #151
On the Convergence and Robustness of Adversarial Training
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #152
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #153
On discriminative learning of prediction uncertainty
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #154
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #155
Does Data Augmentation Lead to Positive Margin?
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #156
Robust Learning from Untrusted Sources
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #157
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #158
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #159
Concentration Inequalities for Conditional Value at Risk
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #160
Data Poisoning Attacks in Multi-Party Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #161
Distributed Weighted Matching via Randomized Composable Coresets
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #162
Multivariate Submodular Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #163
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #164
Approximating Orthogonal Matrices with Effective Givens Factorization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #165
New results on information theoretic clustering
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #166
Improved Parallel Algorithms for Density-Based Network Clustering
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #167
Submodular Observation Selection and Information Gathering for Quadratic Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #168
Submodular Cost Submodular Cover with an Approximate Oracle
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #169
Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #170
Hiring Under Uncertainty
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #171
Position-aware Graph Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #172
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #173
Learning Generative Models across Incomparable Spaces
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #174
Relational Pooling for Graph Representations
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #175
Disentangled Graph Convolutional Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #176
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #177
Learning Discrete Structures for Graph Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #178
Compositional Fairness Constraints for Graph Embeddings
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #179
A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #180
Stochastic Blockmodels meet Graph Neural Networks
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #181
Distributed Learning with Sublinear Communication
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #182
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #183
Stochastic Gradient Push for Distributed Deep Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #184
Collective Model Fusion for Multiple Black-Box Experts
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #185
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #186
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #187
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #188
Noisy Dual Principal Component Pursuit
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #189
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #190
Screening rules for Lasso with non-convex Sparse Regularizers
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #191
Monge blunts Bayes: Hardness Results for Adversarial Training
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #192
Better generalization with less data using robust gradient descent
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #193
Near optimal finite time identification of arbitrary linear dynamical systems
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #194
Lossless or Quantized Boosting with Integer Arithmetic
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #195
Orthogonal Random Forest for Causal Inference
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #196
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #197
The advantages of multiple classes for reducing overfitting from test set reuse
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #198
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #199
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #200
On Medians of (Randomized) Pairwise Means
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #201
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #202
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #203
On the Complexity of Approximating Wasserstein Barycenters
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #204
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #205
A Dynamical Systems Perspective on Nesterov Acceleration
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #206
Random Shuffling Beats SGD after Finite Epochs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #207
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #208
Improved Convergence for $\ell_1$ and $\ell_\infty$ Regression via Iteratively Reweighted Least Squares
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #209
Optimal Mini-Batch and Step Sizes for SAGA
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #210
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #211
Distribution calibration for regression
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #212
Graph Convolutional Gaussian Processes
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #213
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #214
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #215
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #216
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #217
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #218
Deep Gaussian Processes with Importance-Weighted Variational Inference
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #219
Automated Model Selection with Bayesian Quadrature
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #220
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #221
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #222
Random Function Priors for Correlation Modeling
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #223
Variational Russian Roulette for Deep Bayesian Nonparametrics
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #224
Incorporating Grouping Information into Bayesian Decision Tree Ensembles
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #225
Variational Implicit Processes
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #226
Discovering Latent Covariance Structures for Multiple Time Series
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #227
Scalable Training of Inference Networks for Gaussian-Process Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #228
Bayesian Optimization Meets Bayesian Optimal Stopping
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #229
Learning interpretable continuous-time models of latent stochastic dynamical systems
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #230
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #231
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #232
Understanding and Accelerating Particle-Based Variational Inference
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #233
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #234
The Variational Predictive Natural Gradient
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #235
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #236
An Instability in Variational Inference for Topic Models
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #237
Bayesian Optimization of Composite Functions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #238
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #239
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #240
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #241
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #242
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #243
Fast and Flexible Inference of Joint Distributions from their Marginals
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #244
Cognitive model priors for predicting human decisions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom
Conditioning by adaptive sampling for robust design
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #246
Direct Uncertainty Prediction for Medical Second Opinions
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #247
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #248
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #249
DeepNose: Using artificial neural networks to represent the space of odorants
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #250
Domain Agnostic Learning with Disentangled Representations
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #251
Composing Value Functions in Reinforcement Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #252
Fast Context Adaptation via Meta-Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #253
Provable Guarantees for Gradient-Based Meta-Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #254
Towards Understanding Knowledge Distillation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #255
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #256
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #257
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #258
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #259
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #260
Active Embedding Search via Noisy Paired Comparisons
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #261
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #262
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #263
Bayesian Generative Active Deep Learning
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #264
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #265
Active Learning with Disagreement Graphs
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #266
Multi-Frequency Vector Diffusion Maps
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #267
Co-manifold learning with missing data
In
Posters Wed
Poster
Wed Jun 12 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #268
Hybrid Models with Deep and Invertible Features
In
Posters Wed
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #1
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #2
Variational Laplace Autoencoders
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #3
Latent Normalizing Flows for Discrete Sequences
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #4
Multi-objective training of Generative Adversarial Networks with multiple discriminators
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #5
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #6
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #7
Graphite: Iterative Generative Modeling of Graphs
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #9
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #10
On Scalable and Efficient Computation of Large Scale Optimal Transport
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #11
Understanding and correcting pathologies in the training of learned optimizers
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #12
Demystifying Dropout
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #13
Ladder Capsule Network
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #14
Unreproducible Research is Reproducible
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #15
Geometric Scattering for Graph Data Analysis
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #16
Robust Inference via Generative Classifiers for Handling Noisy Labels
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #17
LIT: Learned Intermediate Representation Training for Model Compression
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #18
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #19
What is the Effect of Importance Weighting in Deep Learning?
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #20
Similarity of Neural Network Representations Revisited
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #21
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #22
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #23
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #24
Multi-Object Representation Learning with Iterative Variational Inference
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #25
Cross-Domain 3D Equivariant Image Embeddings
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #26
Loss Landscapes of Regularized Linear Autoencoders
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #27
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #28
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #29
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #30
Lorentzian Distance Learning for Hyperbolic Representations
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #31
Batch Policy Learning under Constraints
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #32
Quantifying Generalization in Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #33
Learning Latent Dynamics for Planning from Pixels
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #34
Projections for Approximate Policy Iteration Algorithms
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #35
Learning Structured Decision Problems with Unawareness
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #36
Calibrated Model-Based Deep Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #37
Reinforcement Learning in Configurable Continuous Environments
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #38
Target-Based Temporal-Difference Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #39
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #40
Finding Options that Minimize Planning Time
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #41
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #42
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #43
Meta-Learning Neural Bloom Filters
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #44
CoT: Cooperative Training for Generative Modeling of Discrete Data
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #45
Non-Monotonic Sequential Text Generation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #46
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #47
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #48
Trainable Decoding of Sets of Sequences for Neural Sequence Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #49
Learning to Generalize from Sparse and Underspecified Rewards
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #50
Efficient Training of BERT by Progressively Stacking
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #51
Decentralized Exploration in Multi-Armed Bandits
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #52
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #53
Exploiting structure of uncertainty for efficient matroid semi-bandits
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #54
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #55
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #56
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #57
TarMAC: Targeted Multi-Agent Communication
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #58
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #59
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #60
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #61
Neural Network Attributions: A Causal Perspective
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #62
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #63
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #64
Functional Transparency for Structured Data: a Game-Theoretic Approach
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #65
Exploring interpretable LSTM neural networks over multi-variable data
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #66
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #67
Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #68
State-Regularized Recurrent Neural Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #69
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #70
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #71
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #72
On the Spectral Bias of Neural Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #73
Recursive Sketches for Modular Deep Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #74
Zero-Shot Knowledge Distillation in Deep Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #75
A Convergence Theory for Deep Learning via Over-Parameterization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #76
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #77
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #78
Global Convergence of Block Coordinate Descent in Deep Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #79
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #80
On the Limitations of Representing Functions on Sets
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #81
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #82
Nonparametric Bayesian Deep Networks with Local Competition
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #83
Good Initializations of Variational Bayes for Deep Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #84
Dropout as a Structured Shrinkage Prior
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #85
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #86
On Variational Bounds of Mutual Information
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #87
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #88
Hierarchical Importance Weighted Autoencoders
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #89
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #90
Understanding Priors in Bayesian Neural Networks at the Unit Level
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #91
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #92
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #93
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #94
Width Provably Matters in Optimization for Deep Linear Neural Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #95
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #96
Power k-Means Clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #97
Distributed Learning over Unreliable Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #98
Escaping Saddle Points with Adaptive Gradient Methods
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #99
$\texttt{DoubleSqueeze}$: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #100
Model Function Based Conditional Gradient Method with Armijo-like Line Search
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #101
Analogies Explained: Towards Understanding Word Embeddings
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #102
Parameter-Efficient Transfer Learning for NLP
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #103
Efficient On-Device Models using Neural Projections
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #104
Deep Residual Output Layers for Neural Language Generation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #105
Improving Neural Language Modeling via Adversarial Training
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #106
Mixture Models for Diverse Machine Translation: Tricks of the Trade
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #107
MASS: Masked Sequence to Sequence Pre-training for Language Generation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #108
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #109
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #110
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #111
COMIC: Multi-view Clustering Without Parameter Selection
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #112
The Wasserstein Transform
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #113
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #114
Neural Collaborative Subspace Clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #115
Unsupervised Deep Learning by Neighbourhood Discovery
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #116
Autoregressive Energy Machines
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #117
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #118
Noise2Self: Blind Denoising by Self-Supervision
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #119
Learning Dependency Structures for Weak Supervision Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #120
Geometry and Symmetry in Short-and-Sparse Deconvolution
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #121
On Sparse Linear Regression in the Local Differential Privacy Model
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #122
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #123
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124
Differentially Private Learning of Geometric Concepts
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #125
Toward Controlling Discrimination in Online Ad Auctions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #126
Learning Optimal Fair Policies
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #127
Fairness-Aware Learning for Continuous Attributes and Treatments
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #128
Fairness risk measures
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #129
Proportionally Fair Clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #130
Stable and Fair Classification
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #131
Flexibly Fair Representation Learning by Disentanglement
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #132
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #133
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #134
Differentially Private Fair Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #135
Obtaining Fairness using Optimal Transport Theory
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #136
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #137
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #138
Making Decisions that Reduce Discriminatory Impacts
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #139
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #140
Online Algorithms for Rent-Or-Buy with Expert Advice
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #141
Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #142
Categorical Feature Compression via Submodular Optimization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #143
Multi-Frequency Phase Synchronization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #144
Faster Algorithms for Binary Matrix Factorization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #146
Guided evolutionary strategies: augmenting random search with surrogate gradients
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #147
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #148
Semi-Cyclic Stochastic Gradient Descent
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #149
Matrix-Free Preconditioning in Online Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #150
Online Convex Optimization in Adversarial Markov Decision Processes
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #151
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #152
Online Learning with Sleeping Experts and Feedback Graphs
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #153
Incremental Randomized Sketching for Online Kernel Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #154
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #155
Online Control with Adversarial Disturbances
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #156
Adversarial Online Learning with noise
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #157
Online Variance Reduction with Mixtures
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #158
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #159
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #160
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #161
Adaptive Regret of Convex and Smooth Functions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #162
Online Adaptive Principal Component Analysis and Its extensions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #163
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #164
Anytime Online-to-Batch, Optimism and Acceleration
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #165
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #166
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #167
Adaptive Sensor Placement for Continuous Spaces
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #168
Scale-free adaptive planning for deterministic dynamics & discounted rewards
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #169
Communication-Constrained Inference and the Role of Shared Randomness
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #170
Learning and Data Selection in Big Datasets
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #171
Sublinear quantum algorithms for training linear and kernel-based classifiers
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #172
Agnostic Federated Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #173
Discovering Conditionally Salient Features with Statistical Guarantees
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #174
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #175
The information-theoretic value of unlabeled data in semi-supervised learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #176
Unsupervised Label Noise Modeling and Loss Correction
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #177
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #178
Pareto Optimal Streaming Unsupervised Classification
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #179
Geometric Losses for Distributional Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #180
Classification from Positive, Unlabeled and Biased Negative Data
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #181
Complementary-Label Learning for Arbitrary Losses and Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #182
Learning to Infer Program Sketches
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #183
Hierarchically Structured Meta-learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #184
Bridging Theory and Algorithm for Domain Adaptation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #185
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #186
Learning What and Where to Transfer
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #187
DBSCAN++: Towards fast and scalable density clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #188
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #189
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #190
Spectral Clustering of Signed Graphs via Matrix Power Means
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #191
Coresets for Ordered Weighted Clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #192
Fair k-Center Clustering for Data Summarization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #193
A Better k-means++ Algorithm via Local Search
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #194
Kernel Normalized Cut: a Theoretical Revisit
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #195
Guarantees for Spectral Clustering with Fairness Constraints
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #196
Supervised Hierarchical Clustering with Exponential Linkage
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #197
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #198
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #199
Unifying Orthogonal Monte Carlo Methods
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #200
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #201
Metropolis-Hastings Generative Adversarial Networks
In
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Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #202
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #203
Replica Conditional Sequential Monte Carlo
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #204
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #205
Adaptive Antithetic Sampling for Variance Reduction
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #206
Accelerated Flow for Probability Distributions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #207
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #208
Dimensionality Reduction for Tukey Regression
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #209
Efficient Full-Matrix Adaptive Regularization
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #210
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #211
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
In
Posters Thu
[
Video]
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #212
Robust Estimation of Tree Structured Gaussian Graphical Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #213
Spectral Approximate Inference
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #214
Partially Linear Additive Gaussian Graphical Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #215
DAG-GNN: DAG Structure Learning with Graph Neural Networks
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #216
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #217
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #218
Linear-Complexity Data-Parallel Earth Mover's Distance Approximations
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #219
Model Comparison for Semantic Grouping
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #220
RaFM: Rank-Aware Factorization Machines
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #221
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #222
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #223
Neural Separation of Observed and Unobserved Distributions
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #224
Almost Unsupervised Text to Speech and Automatic Speech Recognition
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #225
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #226
A fully differentiable beam search decoder
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #227
Scaling Up Ordinal Embedding: A Landmark Approach
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #228
Learning to select for a predefined ranking
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #229
Mallows ranking models: maximum likelihood estimate and regeneration
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #230
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #231
Fast Algorithm for Generalized Multinomial Models with Ranking Data
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #232
Graph Resistance and Learning from Pairwise Comparisons
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #233
Learning Context-dependent Label Permutations for Multi-label Classification
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #234
Discovering Context Effects from Raw Choice Data
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #235
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
In
Posters Thu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #236
Learning Distance for Sequences by Learning a Ground Metric
In
Posters Thu