Toggle Poster Visibility
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