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Volume 115: Uncertainty in Artificial Intelligence, 22-25 July 2019, Tel Aviv, Israel
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Editors: Ryan P. Adams, Vibhav Gogate
The 35th Uncertainty in Artificial Intelligence Conference: Preface
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1-17
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Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:18-27
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Conditional Expectation Propagation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:28-37
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:38-48
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On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:49-59
Correlated Learning for Aggregation Systems
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:60-70
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Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:71-80
Variational Regret Bounds for Reinforcement Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:81-90
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Recommendation from Raw Data with Adaptive Compound Poisson Factorization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:91-101
One-Shot Marginal MAP Inference in Markov Random Fields
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:102-112
Truly Proximal Policy Optimization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:113-122
Learning Factored Markov Decision Processes with Unawareness
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:123-133
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:134-144
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Countdown Regression: Sharp and Calibrated Survival Predictions
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:145-155
Reducing Exploration of Dying Arms in Mortal Bandits
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:156-163
Comparing EM with GD in Mixture Models of Two Components
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:164-174
Efficient Search-Based Weighted Model Integration
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:175-185
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:186-195
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:196-206
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:207-216
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The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:217-227
Random Clique Covers for Graphs with Local Density and Global Sparsity
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:228-238
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Randomized Iterative Algorithms for Fisher Discriminant Analysis
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:239-249
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:250-260
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:261-270
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Adaptive Hashing for Model Counting
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:271-280
Towards a Better Understanding and Regularization of GAN Training Dynamics
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:281-291
Domain Generalization via Multidomain Discriminant Analysis
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:292-302
Efficient Planning Under Uncertainty with Incremental Refinement
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:303-312
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Cubic Regularization with Momentum for Nonconvex Optimization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:313-322
Stability of Linear Structural Equation Models of Causal Inference
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:323-333
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Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:334-344
Towards Robust Relational Causal Discovery
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:345-355
The Role of Memory in Stochastic Optimization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:356-366
Random Search and Reproducibility for Neural Architecture Search
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:367-377
Joint Nonparametric Precision Matrix Estimation with Confounding
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:378-388
General Identifiability with Arbitrary Surrogate Experiments
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:389-398
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:399-411
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Approximate Inference in Structured Instances with Noisy Categorical Observations
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:412-421
Randomized Value Functions via Multiplicative Normalizing Flows
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:422-432
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A Fast Proximal Point Method for Computing Exact Wasserstein Distance
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:433-453
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:454-464
Fisher-Bures Adversary Graph Convolutional Networks
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:465-475
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Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:476-485
Periodic Kernel Approximation by Index Set Fourier Series Features
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:486-496
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Efficient Neural Network Verification with Exactness Characterization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:497-507
Augmenting and Tuning Knowledge Graph Embeddings
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:508-518
A Tighter Analysis of Randomised Policy Iteration
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:519-529
Perturbed-History Exploration in Stochastic Linear Bandits
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:530-540
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An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:541-551
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Deep Mixture of Experts via Shallow Embedding
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:552-562
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:563-573
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Sliced Score Matching: A Scalable Approach to Density and Score Estimation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:574-584
Beyond Structural Causal Models: Causal Constraints Models
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:585-594
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:595-605
Approximate Causal Abstractions
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:606-615
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:616-626
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:627-636
Finding Minimal d-separators in Linear Time and Applications
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:637-647
A Bayesian Approach to Robust Reinforcement Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:648-658
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:659-668
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:669-678
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:679-689
Variational Sparse Coding
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:690-700
Learning with Non-Convex Truncated Losses by SGD
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:701-711
Active Multi-Information Source Bayesian Quadrature
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:712-721
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:722-732
Sinkhorn AutoEncoders
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:733-743
How to Exploit Structure while Solving Weighted Model Integration Problems
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:744-754
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:755-765
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:766-776
Efficient Multitask Feature and Relationship Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:777-787
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:788-798
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:799-808
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:809-819
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Online Factorization and Partition of Complex Networks by Random Walk
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:820-830
On Densification for Minwise Hashing
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:831-840
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N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:841-851
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Problem-dependent Regret Bounds for Online Learning with Feedback Graphs
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:852-861
Wasserstein Fair Classification
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:862-872
Variational Training for Large-Scale Noisy-OR Bayesian Networks
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:873-882
Guaranteed Scalable Learning of Latent Tree Models
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:883-893
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:894-904
Noise Contrastive Priors for Functional Uncertainty
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:905-914
Fake It Till You Make It: Learning-Compatible Performance Support
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:915-924
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Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:925-934
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Convergence Analysis of Gradient-Based Learning in Continuous Games
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:935-944
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:945-955
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Approximate Relative Value Learning for Average-reward Continuous State MDPs
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:956-964
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Exact Sampling of Directed Acyclic Graphs from Modular Distributions
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:965-974
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Intervening on Network Ties
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:975-984
Generating and Sampling Orbits for Lifted Probabilistic Inference
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:985-994
Real-Time Robotic Search using Structural Spatial Point Processes
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:995-1005
Social Reinforcement Learning to Combat Fake News Spread
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1006-1016
P3O: Policy-on Policy-off Policy Optimization
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1017-1027
Causal Inference Under Interference And Network Uncertainty
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1028-1038
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1039-1049
Learnability for the Information Bottleneck
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1050-1060
Learning Belief Representations for Imitation Learning in POMDPs
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1061-1071
Object Conditioning for Causal Inference
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1072-1082
CCMI : Classifier based Conditional Mutual Information Estimation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1083-1093
Empirical Mechanism Design: Designing Mechanisms from Data
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1094-1104
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On the Relationship Between Satisfiability and Markov Decision Processes
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1105-1115
Interpretable Almost Matching Exactly With Instrumental Variables
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1116-1126
Low Frequency Adversarial Perturbation
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1127-1137
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Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1138-1148
Identification In Missing Data Models Represented By Directed Acyclic Graphs
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1149-1158
A Weighted Mini-Bucket Bound for Solving Influence Diagram
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1159-1168
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Subspace Inference for Bayesian Deep Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1169-1179
Off-Policy Policy Gradient with Stationary Distribution Correction
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1180-1190
Co-training for Policy Learning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1191-1201
Variational Inference of Penalized Regression with Submodular Functions
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1202-1211
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Probability Distillation: A Caveat and Alternatives
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1212-1221
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Bayesian Optimization with Binary Auxiliary Information
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1222-1232
On Open-Universe Causal Reasoning
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1233-1243
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Embarrassingly Parallel MCMC using Deep Invertible Transformations
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1244-1252
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Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1253-1262
Block Neural Autoregressive Flow
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1263-1273
Exclusivity Graph Approach to Instrumental Inequalities
; Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:1274-1283
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