Toggle Poster Visibility
Affinity Workshop
Mon Dec 09 08:00 AM -- 05:30 PM (PST) @ East Meeting Level 1, 1 + 2 + 3
Black in AI (BAI) Affinity Workshop
Affinity Workshop
Mon Dec 09 08:25 AM -- 04:45 PM (PST) @ East Exhibition Hall C
Women in Machine Learning (WiML) Affinity Workshop
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Ballroom A + B
Human Behavior Modeling with Machine Learning: Opportunities and Challenges
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Exhibition Hall A
Deep Learning with Bayesian Principles
Tutorial
Mon Dec 09 08:30 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Imitation Learning and its Application to Natural Language Generation
Affinity Workshop
Mon Dec 09 08:45 AM -- 05:30 PM (PST) @ East Ballroom A
LatinX in AI (LAI) Affinity Workshop
Workshop
Mon Dec 09 09:00 AM -- 04:45 PM (PST) @ East Meeting Rooms 11 + 12
New In Machine Learning
Break
Mon Dec 09 10:30 AM -- 11:15 AM (PST)
Coffee Break
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Ballroom A + B
Machine Learning for Computational Biology and Health
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Exhibition Hall A
Interpretable Comparison of Distributions and Models
Tutorial
Mon Dec 09 11:15 AM -- 01:15 PM (PST) @ West Exhibition Hall C + B3
Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures
Affinity Poster Session
Mon Dec 09 01:15 PM -- 02:45 PM (PST) @ East Exhibition Hall B
WiML + Black in AI Joint Poster Session
Break
Mon Dec 09 01:15 PM -- 02:45 PM (PST)
Lunch Break on Your Own
Affinity Workshop
Mon Dec 09 02:00 PM -- 05:00 PM (PST) @ East Meeting Level 1, 8 + 15
Queer in AI (QAI) Affinity Workshop
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Ballroom A + B
Synthetic Control
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Reinforcement Learning: Past, Present, and Future Perspectives
Tutorial
Mon Dec 09 02:45 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Representation Learning and Fairness
Break
Mon Dec 09 04:45 PM -- 05:00 PM (PST)
Break
Break
Mon Dec 09 05:00 PM -- 05:45 PM (PST) @ West Exhibition Hall C + B3
Opening Remarks
Affinity Poster Session
Mon Dec 09 06:30 PM -- 08:00 PM (PST) @ East Exhibition Hall B
Joint Affinity Group Poster Session
Break
Mon Dec 09 06:35 PM -- 08:30 PM (PST) @ East Exhibition A, Ballrooms B + C
Opening Reception
Invited Talk (Breiman Lecture)
Tue Dec 10 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Veridical Data Science
Break
Tue Dec 10 09:20 AM -- 10:05 AM (PST) @ West and East
Coffee Break
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Logarithmic Regret for Online Control
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
[
Paper]
[
3 min Video]
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Kernel Instrumental Variable Regression
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Uniform convergence may be unable to explain generalization in deep learning
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
List-decodable Linear Regression
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Spotlight
Tue Dec 10 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
On Exact Computation with an Infinitely Wide Neural Net
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
On the Hardness of Robust Classification
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
Point-Voxel CNN for Efficient 3D Deep Learning
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
Identification of Conditional Causal Effects under Markov Equivalence
Spotlight
Tue Dec 10 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Adversarial Examples Are Not Bugs, They Are Features
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Neural Networks with Cheap Differential Operators
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Spotlight
Tue Dec 10 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Sequential Neural Processes
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Perceiving the arrow of time in autoregressive motion
Spotlight
Tue Dec 10 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Deep Equilibrium Models
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
Conditional Independence Testing using Generative Adversarial Networks
Spotlight
Tue Dec 10 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
A Game Theoretic Approach to Class-wise Selective Rationalization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
A Little Is Enough: Circumventing Defenses For Distributed Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
Adversarial training for free!
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
Certifiable Robustness to Graph Perturbations
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Certified Adversarial Robustness with Additive Noise
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
Efficient online learning with kernels for adversarial large scale problems
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #10
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #11
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #12
Learning from Bad Data via Generation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
Multi-marginal Wasserstein GAN
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Blocking Bandits
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Combinatorial Bandits with Relative Feedback
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
Decentralized Cooperative Stochastic Bandits
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #20
Doubly-Robust Lasso Bandit
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #21
Efficient Pure Exploration in Adaptive Round Model
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #22
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #23
Nonstochastic Multiarmed Bandits with Unrestricted Delays
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #24
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #25
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #26
Polynomial Cost of Adaptation for X-Armed Bandits
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #27
Semi-Parametric Dynamic Contextual Pricing
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #28
Coresets for Clustering with Fairness Constraints
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #29
Correlation Clustering with Adaptive Similarity Queries
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #30
Correlation clustering with local objectives
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #31
Foundations of Comparison-Based Hierarchical Clustering
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #32
Fully Dynamic Consistent Facility Location
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #33
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #34
k-Means Clustering of Lines for Big Data
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Near Neighbor: Who is the Fairest of Them All?
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
Same-Cluster Querying for Overlapping Clusters
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Selective Sampling-based Scalable Sparse Subspace Clustering
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Spectral Modification of Graphs for Improved Spectral Clustering
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Subquadratic High-Dimensional Hierarchical Clustering
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Ultra Fast Medoid Identification via Correlated Sequential Halving
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Ultrametric Fitting by Gradient Descent
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Backpropagation-Friendly Eigendecomposition
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Learning-Based Low-Rank Approximations
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Sobolev Independence Criterion
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
Towards a Zero-One Law for Column Subset Selection
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Fisher Efficient Inference of Intractable Models
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
Learning Distributions Generated by One-Layer ReLU Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
On Fenchel Mini-Max Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Practical and Consistent Estimation of f-Divergences
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
Re-examination of the Role of Latent Variables in Sequence Modeling
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Space and Time Efficient Kernel Density Estimation in High Dimensions
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Unconstrained Monotonic Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #55
Mutually Regressive Point Processes
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #56
Neural Networks with Cheap Differential Operators
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #57
Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #58
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #59
Kernel Instrumental Variable Regression
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #60
Kernel Stein Tests for Multiple Model Comparison
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #61
On Exact Computation with an Infinitely Wide Neural Net
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
Solving Interpretable Kernel Dimensionality Reduction
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Augmented Neural ODEs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Exact Rate-Distortion in Autoencoders via Echo Noise
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Information Competing Process for Learning Diversified Representations
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
Learning low-dimensional state embeddings and metastable clusters from time series data
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Learning Nonsymmetric Determinantal Point Processes
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
Provably Powerful Graph Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #72
Quaternion Knowledge Graph Embeddings
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #73
Semi-supervisedly Co-embedding Attributed Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #74
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #75
Conditional Independence Testing using Generative Adversarial Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #76
Generalized Sliced Wasserstein Distances
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #77
Hyperspherical Prototype Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #78
Input Similarity from the Neural Network Perspective
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #79
Landmark Ordinal Embedding
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #80
Tree-Sliced Variants of Wasserstein Distances
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #81
Communication-efficient Distributed SGD with Sketching
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #82
Order Optimal One-Shot Distributed Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #83
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #84
Game Design for Eliciting Distinguishable Behavior
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
Adversarial Examples Are Not Bugs, They Are Features
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Capacity Bounded Differential Privacy
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
Differentially Private Anonymized Histograms
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Differentially Private Bayesian Linear Regression
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
Locally Private Gaussian Estimation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
Partially Encrypted Deep Learning using Functional Encryption
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #97
Reward Constrained Interactive Recommendation with Natural Language Feedback
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #98
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #99
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #100
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #101
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #102
Deep Learning without Weight Transport
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #103
Neural networks grown and self-organized by noise
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #104
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #105
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #106
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #107
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #108
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #109
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #110
Channel Gating Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #111
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #112
Point-Voxel CNN for Efficient 3D Deep Learning
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #113
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #114
Inherent Weight Normalization in Stochastic Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #115
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #116
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #117
Positive-Unlabeled Compression on the Cloud
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #118
A Primal-Dual link between GANs and Autoencoders
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #119
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #120
Adversarial Self-Defense for Cycle-Consistent GANs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #121
Controllable Text-to-Image Generation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #122
Dancing to Music
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #123
DppNet: Approximating Determinantal Point Processes with Deep Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #124
Efficient Graph Generation with Graph Recurrent Attention Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #125
Explicit Disentanglement of Appearance and Perspective in Generative Models
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #126
Flow-based Image-to-Image Translation with Feature Disentanglement
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #127
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #128
Improved Precision and Recall Metric for Assessing Generative Models
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #129
Knowledge Extraction with No Observable Data
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #130
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #131
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #132
Sequential Neural Processes
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #133
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #134
GNNExplainer: Generating Explanations for Graph Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #135
An Improved Analysis of Training Over-parameterized Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #136
Controlling Neural Level Sets
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #137
Deep Equilibrium Models
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #138
Differentiable Cloth Simulation for Inverse Problems
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #139
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #140
Fine-grained Optimization of Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #141
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #142
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #143
Stagewise Training Accelerates Convergence of Testing Error Over SGD
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #144
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #145
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #146
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #148
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149
Unsupervised learning of object structure and dynamics from videos
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #150
Can SGD Learn Recurrent Neural Networks with Provable Generalization?
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #151
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #152
Input-Output Equivalence of Unitary and Contractive RNNs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #153
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #154
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #155
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #156
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #157
Root Mean Square Layer Normalization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #158
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #159
A Benchmark for Interpretability Methods in Deep Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #160
Accurate, reliable and fast robustness evaluation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #161
Approximate Feature Collisions in Neural Nets
[
Paper]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #162
Computing Linear Restrictions of Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #163
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #164
Deliberative Explanations: visualizing network insecurities
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #165
Explanations can be manipulated and geometry is to blame
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #166
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #167
Full-Gradient Representation for Neural Network Visualization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #168
Grid Saliency for Context Explanations of Semantic Segmentation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #169
Intrinsic dimension of data representations in deep neural networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #170
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #171
The Geometry of Deep Networks: Power Diagram Subdivision
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #172
Visualizing and Measuring the Geometry of BERT
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #173
Visualizing the PHATE of Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #174
A Graph Theoretic Additive Approximation of Optimal Transport
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #175
Combinatorial Bayesian Optimization using the Graph Cartesian Product
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #176
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #177
Learning Local Search Heuristics for Boolean Satisfiability
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #178
Learning to Perform Local Rewriting for Combinatorial Optimization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #179
Adapting Neural Networks for the Estimation of Treatment Effects
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #180
Causal Regularization
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #181
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #182
Debiased Bayesian inference for average treatment effects
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #183
Deep Generalized Method of Moments for Instrumental Variable Analysis
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #184
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #185
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #186
Identification of Conditional Causal Effects under Markov Equivalence
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #187
Variance Reduction in Bipartite Experiments through Correlation Clustering
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #188
Generalized Off-Policy Actor-Critic
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #189
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #190
Logarithmic Regret for Online Control
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #191
Adaptive Auxiliary Task Weighting for Reinforcement Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #192
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #193
Limiting Extrapolation in Linear Approximate Value Iteration
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #194
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #195
Provably Efficient Q-Learning with Low Switching Cost
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #196
Regret Bounds for Learning State Representations in Reinforcement Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #197
Safe Exploration for Interactive Machine Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #198
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #199
A Family of Robust Stochastic Operators for Reinforcement Learning
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #200
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #201
Finite-Sample Analysis for SARSA with Linear Function Approximation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #202
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #203
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #204
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #205
Sampling Networks and Aggregate Simulation for Online POMDP Planning
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #206
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #207
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #208
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #209
Chasing Ghosts: Instruction Following as Bayesian State Tracking
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #210
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #211
The Parameterized Complexity of Cascading Portfolio Scheduling
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #212
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #213
Conformal Prediction Under Covariate Shift
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #214
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #215
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #216
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #217
Efficient Deep Approximation of GMMs
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #218
Universal Invariant and Equivariant Graph Neural Networks
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
Exact inference in structured prediction
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
List-decodable Linear Regression
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
On the Calibration of Multiclass Classification with Rejection
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
On the Hardness of Robust Classification
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
PAC-Bayes under potentially heavy tails
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Uniform convergence may be unable to explain generalization in deep learning
Break
Tue Dec 10 12:45 PM -- 02:15 PM (PST)
Lunch Break on Your Own
Invited Talk
Tue Dec 10 02:15 PM -- 03:05 PM (PST) @ West Exhibition Hall C + B3
Machine Learning Meets Single-Cell Biology: Insights and Challenges
Invited Talk
Tue Dec 10 03:05 PM -- 03:25 PM (PST) @ West Exhibition Hall C + B3
Test of Time
Break
Tue Dec 10 03:25 PM -- 04:10 PM (PST) @ West and East
Coffee Break
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom C
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom A + B
Causal Confusion in Imitation Learning
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
Generative Modeling by Estimating Gradients of the Data Distribution
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Exhibition Hall A
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Ballroom C
Scalable Global Optimization via Local Bayesian Optimization
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Ballroom A + B
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Spotlight
Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Exhibition Hall C + B3
Learning Hierarchical Priors in VAEs
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Exhibition Hall A
Reducing the variance in online optimization by transporting past gradients
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Ballroom C
Uncertainty on Asynchronous Time Event Prediction
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Ballroom A + B
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Spotlight
Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Exhibition Hall C + B3
Implicit Generation and Modeling with Energy Based Models
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Exhibition Hall A
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Ballroom C
Bayesian Optimization under Heavy-tailed Payoffs
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Ballroom A + B
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Spotlight
Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
Invertible Convolutional Flow
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Fast and Provable ADMM for Learning with Generative Priors
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Variational Bayesian Optimal Experimental Design
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Ballroom A + B
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Spotlight
Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Residual Flows for Invertible Generative Modeling
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall A
Complexity of Highly Parallel Non-Smooth Convex Optimization
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Implicit Posterior Variational Inference for Deep Gaussian Processes
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Ballroom A + B
Guided Meta-Policy Search
Spotlight
Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall A
Necessary and Sufficient Geometries for Gradient Methods
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom C
Parameter elimination in particle Gibbs sampling
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom A + B
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall C + B3
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Exhibition Hall A
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Ballroom C
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Ballroom A + B
Better Exploration with Optimistic Actor Critic
Spotlight
Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Exhibition Hall C + B3
Adaptive Density Estimation for Generative Models
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Exhibition Hall A
Learning Positive Functions with Pseudo Mirror Descent
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Ballroom C
The Randomized Midpoint Method for Log-Concave Sampling
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Ballroom A + B
Robust exploration in linear quadratic reinforcement learning
Spotlight
Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Exhibition Hall C + B3
Twin Auxilary Classifiers GAN
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Exhibition Hall A
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Ballroom C
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Ballroom A + B
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Spotlight
Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Exhibition Hall C + B3
Adversarial Fisher Vectors for Unsupervised Representation Learning
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Exhibition Hall A
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Ballroom C
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Ballroom A + B
Hindsight Credit Assignment
Spotlight
Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Exhibition Hall C + B3
Emergence of Object Segmentation in Perturbed Generative Models
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Exhibition Hall A
Learning dynamic polynomial proofs
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Ballroom C
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Ballroom A + B
Weight Agnostic Neural Networks
Spotlight
Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Exhibition Hall C + B3
Compression with Flows via Local Bits-Back Coding
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #801
exBERT: A Visual Analysis Tool to Explain BERT's Learned Representations
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #802
Streamlit, a new app framework for machine learning tools
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #803
Discovering Neural Wirings Neural Network Visualizer
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #804
"How can this Paper get in?" - A game to advise researchers when writing for a top AI conference
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #805___1
Robot-Assisted Hair-Brushing
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #805___0
Toronto Annotation Suite
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #806
Learning Machines can Curl - Adaptive Deep Reinforcement Learning enables the robot Curly to win against human players in an icy world
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #807
Human Gesture Recognition using Spiking Input on Akida Neuromorphic Platform
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #808
GENO -- Optimization for Classical Machine Learning Made Fast and Easy
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #810
SCC: Deep Reinforcement Learning Agent plays StarCraft II at competitive human level
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #811
AI in Two-sided Ride-sharing Marketplace
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #812
NNgen: A Model-Specific Hardware Synthesis Compiler for Deep Neural Network
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #813
Realtime Modeling and Anomaly Detection in Multivariate Data Streams
In
Demos Tue
Demonstration
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #814
Empathy based Affective Portrait Painter
In
Demos Tue
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #1
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #2
DATA: Differentiable ArchiTecture Approximation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #3
DetNAS: Backbone Search for Object Detection
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #4
Discovering Neural Wirings
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #5
Fast AutoAugment
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #6
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #7
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #8
Network Pruning via Transformable Architecture Search
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #9
Scalable Global Optimization via Local Bayesian Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #10
XNAS: Neural Architecture Search with Expert Advice
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #11
Bayesian Optimization under Heavy-tailed Payoffs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #12
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #13
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #14
Learning Multiple Markov Chains via Adaptive Allocation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #15
Linear Stochastic Bandits Under Safety Constraints
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #16
Personalizing Many Decisions with High-Dimensional Covariates
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #17
Non-Asymptotic Pure Exploration by Solving Games
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #18
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #19
Optimal Best Markovian Arm Identification with Fixed Confidence
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #20
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #21
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #22
Thresholding Bandit with Optimal Aggregate Regret
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #23
Weighted Linear Bandits for Non-Stationary Environments
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #24
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #25
Asymptotics for Sketching in Least Squares Regression
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #26
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #27
Large-scale optimal transport map estimation using projection pursuit
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #28
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #29
Massively scalable Sinkhorn distances via the Nyström method
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #30
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #31
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #32
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #33
Random Projections with Asymmetric Quantization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #34
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #35
Robust and Communication-Efficient Collaborative Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #36
Sampled Softmax with Random Fourier Features
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #37
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #38
Sliced Gromov-Wasserstein
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #39
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #40
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #41
Adaptive Gradient-Based Meta-Learning Methods
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #42
Guided Meta-Policy Search
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #43
Learning to Propagate for Graph Meta-Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #44
Meta Learning with Relational Information for Short Sequences
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #45
Meta-Curvature
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #46
Meta-Learning Representations for Continual Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #47
Meta-Learning with Implicit Gradients
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #48
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
[
Paper]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #49
Self-Supervised Generalisation with Meta Auxiliary Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #50
Iterative Least Trimmed Squares for Mixed Linear Regression
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #51
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #52
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #53
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #54
Deep Set Prediction Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #55
Learning Positive Functions with Pseudo Mirror Descent
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #56
Localized Structured Prediction
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #57
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #58
Retrosynthesis Prediction with Conditional Graph Logic Network
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #59
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #60
Emergence of Object Segmentation in Perturbed Generative Models
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #61
On Adversarial Mixup Resynthesis
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #62
q-means: A quantum algorithm for unsupervised machine learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #63
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #64
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #65
Deep Structured Prediction for Facial Landmark Detection
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #66
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #67
Face Reconstruction from Voice using Generative Adversarial Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #68
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #69
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #70
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #71
Adaptive Density Estimation for Generative Models
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #72
Adversarial Fisher Vectors for Unsupervised Representation Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #73
Co-Generation with GANs using AIS based HMC
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #74
Compression with Flows via Local Bits-Back Coding
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #75
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #76
Fast and Provable ADMM for Learning with Generative Priors
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #77
Generative Modeling by Estimating Gradients of the Data Distribution
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #78
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #79
Implicit Generation and Modeling with Energy Based Models
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #80
Invertible Convolutional Flow
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #81
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #82
MaCow: Masked Convolutional Generative Flow
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #83
Mining GOLD Samples for Conditional GANs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #84
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #85
Residual Flows for Invertible Generative Modeling
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #86
Time-series Generative Adversarial Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #87
Twin Auxilary Classifiers GAN
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #88
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #89
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #90
In-Place Zero-Space Memory Protection for CNN
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #91
Large Scale Structure of Neural Network Loss Landscapes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #92
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #93
Limitations of the empirical Fisher approximation for natural gradient descent
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #94
Maximum Mean Discrepancy Gradient Flow
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #95
On Lazy Training in Differentiable Programming
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #96
Reducing the variance in online optimization by transporting past gradients
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #97
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #98
Understanding and Improving Layer Normalization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #99
LCA: Loss Change Allocation for Neural Network Training
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #100
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #101
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #102
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #103
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #104
An adaptive Mirror-Prox method for variational inequalities with singular operators
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #105
Blended Matching Pursuit
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #106
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #107
Complexity of Highly Parallel Non-Smooth Convex Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #108
Efficient Symmetric Norm Regression via Linear Sketching
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #109
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #110
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #111
Necessary and Sufficient Geometries for Gradient Methods
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #112
On the Curved Geometry of Accelerated Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #113
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #114
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #115
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #116
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #117
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #118
Efficiently escaping saddle points on manifolds
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #119
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #120
Learning dynamic polynomial proofs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #121
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #122
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #123
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #124
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #125
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #126
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #127
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #128
Double Quantization for Communication-Efficient Distributed Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #129
Optimal Decision Tree with Noisy Outcomes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #130
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #131
RSN: Randomized Subspace Newton
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #132
Towards closing the gap between the theory and practice of SVRG
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #133
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #134
Identifying Causal Effects via Context-specific Independence Relations
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #135
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #136
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #137
Policy Evaluation with Latent Confounders via Optimal Balance
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #138
Sample Efficient Active Learning of Causal Trees
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #139
Selecting causal brain features with a single conditional independence test per feature
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #140
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #141
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #142
Triad Constraints for Learning Causal Structure of Latent Variables
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #143
Using Embeddings to Correct for Unobserved Confounding in Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #144
Robust Multi-agent Counterfactual Prediction
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #145
Statistical Model Aggregation via Parameter Matching
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #146
Implicit Posterior Variational Inference for Deep Gaussian Processes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #147
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #148
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #149
Offline Contextual Bayesian Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #150
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #151
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #152
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #153
Learning Hierarchical Priors in VAEs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #154
Poisson-Randomized Gamma Dynamical Systems
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #155
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #156
Online sampling from log-concave distributions
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #157
Parameter elimination in particle Gibbs sampling
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #158
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #159
Pseudo-Extended Markov chain Monte Carlo
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #160
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #161
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #162
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #163
The Randomized Midpoint Method for Log-Concave Sampling
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #164
Approximate Inference Turns Deep Networks into Gaussian Processes
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #165
Copula-like Variational Inference
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #166
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #167
Importance Weighted Hierarchical Variational Inference
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #168
Practical Deep Learning with Bayesian Principles
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #169
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #170
Universal Boosting Variational Inference
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #171
Variational Bayes under Model Misspecification
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #172
Variational Bayesian Decision-making for Continuous Utilities
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #173
Variational Bayesian Optimal Experimental Design
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #174
Causal Confusion in Imitation Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #175
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #176
Non-Cooperative Inverse Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #177
Robust exploration in linear quadratic reinforcement learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #178
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #179
Better Exploration with Optimistic Actor Critic
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #180
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #181
Explicit Planning for Efficient Exploration in Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #182
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #183
Information-Theoretic Confidence Bounds for Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #184
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #185
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #186
Correlation Priors for Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #187
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #188
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #189
Mapping State Space using Landmarks for Universal Goal Reaching
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #190
Regularizing Trajectory Optimization with Denoising Autoencoders
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #191
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #192
When to Trust Your Model: Model-Based Policy Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #193
When to use parametric models in reinforcement learning?
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #194
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #195
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #196
Learning Mean-Field Games
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #197
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
[
Paper]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #198
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #199
On the Utility of Learning about Humans for Human-AI Coordination
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #200
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #201
Convergent Policy Optimization for Safe Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #202
Experience Replay for Continual Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #203
Exploration via Hindsight Goal Generation
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #204
Hindsight Credit Assignment
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #205
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #206
Importance Resampling for Off-policy Prediction
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #207
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #208
Multi-View Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #209
Real-Time Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #210
Reconciling λ-Returns with Experience Replay
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #211
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #212
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #213
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #214
Trust Region-Guided Proximal Policy Optimization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #215
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #216
Certainty Equivalence is Efficient for Linear Quadratic Control
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #217
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #218
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #219
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #220
Hypothesis Set Stability and Generalization
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #221
Minimizers of the Empirical Risk and Risk Monotonicity
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #222
Multiclass Learning from Contradictions
[
Paper]
[
3 min Video]
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #223
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #224
On the Power and Limitations of Random Features for Understanding Neural Networks
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #225
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #226
Stability of Graph Scattering Transforms
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #227
State Aggregation Learning from Markov Transition Data
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #228
Toward a Characterization of Loss Functions for Distribution Learning
Invited Talk
Wed Dec 11 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Social Intelligence
Break
Wed Dec 11 09:20 AM -- 10:05 AM (PST) @ West and East
coffee Break
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
A neurally plausible model learns successor representations in partially observable environments
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Faster width-dependent algorithm for mixed packing and covering LPs
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Fast and Accurate Least-Mean-Squares Solvers
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Calibration tests in multi-class classification: A unifying framework
Spotlight
Wed Dec 11 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
A Condition Number for Joint Optimization of Cycle-Consistent Networks
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
VIREL: A Variational Inference Framework for Reinforcement Learning
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
Verified Uncertainty Calibration
Spotlight
Wed Dec 11 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Smoothing Structured Decomposable Circuits
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
Fast structure learning with modular regularization
Spotlight
Wed Dec 11 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Policy Continuation with Hindsight Inverse Dynamics
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Counting the Optimal Solutions in Graphical Models
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Spotlight
Wed Dec 11 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
DM2C: Deep Mixed-Modal Clustering
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Learning Reward Machines for Partially Observable Reinforcement Learning
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Combining Generative and Discriminative Models for Hybrid Inference
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
PIDForest: Anomaly Detection via Partial Identification
Spotlight
Wed Dec 11 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
A Meta-Analysis of Overfitting in Machine Learning
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
A Necessary and Sufficient Stability Notion for Adaptive Generalization
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
Model Similarity Mitigates Test Set Overuse
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Optimal Sampling and Clustering in the Stochastic Block Model
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
A Debiased MDI Feature Importance Measure for Random Forests
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
A Refined Margin Distribution Analysis for Forest Representation Learning
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Faster Boosting with Smaller Memory
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
Minimal Variance Sampling in Stochastic Gradient Boosting
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Ex