UAI 2019 Accepted Papers

The full list of 119 papers accepted at UAI 2019 (Conference on Uncertainty in Artificial Intelligence). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

1. Random Search and Reproducibility for Neural Architecture SearchPoster897 citations
2. Sliced Score Matching: A Scalable Approach to Density and Score EstimationPoster543 citations
3. N-GCN: Multi-scale Graph Convolution for Semi-supervised Node ClassificationPoster356 citations
4. Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product ManipulationPoster329 citations
5. Wasserstein Fair ClassificationPoster247 citations
6. A Fast Proximal Point Method for Computing Exact Wasserstein DistancePoster224 citations
7. Subspace Inference for Bayesian Deep LearningPoster205 citations
8. Truly Proximal Policy OptimizationPoster203 citations
9. Low Frequency Adversarial PerturbationPoster199 citations
10. Practical Multi-fidelity Bayesian Optimization for Hyperparameter TuningPoster195 citations
11. A Flexible Framework for Multi-Objective Bayesian Optimization using Random ScalarizationsPoster189 citations
12. Block Neural Autoregressive FlowPoster154 citations
13. Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep LearningPoster142 citations
14. Domain Generalization via Multidomain Discriminant AnalysisPoster140 citations
15. Deep Mixture of Experts via Shallow EmbeddingPoster136 citations
16. Sinkhorn AutoEncodersPoster127 citations
17. An Improved Convergence Analysis of Stochastic Variance-Reduced Policy GradientPoster123 citations
18. Noise Contrastive Priors for Functional UncertaintyPoster104 citations
19. CCMI : Classifier based Conditional Mutual Information EstimationPoster102 citations
20. The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICAPoster101 citations
21. Causal Discovery with General Non-Linear Relationships using Non-Linear ICAPoster100 citations
22. General Identifiability with Arbitrary Surrogate ExperimentsPoster98 citations
23. Approximate Causal AbstractionsPoster82 citations
24. Causal Inference Under Interference And Network UncertaintyPoster82 citations
25. Countdown Regression: Sharp and Calibrated Survival PredictionsPoster78 citations
26. The Sensitivity of Counterfactual Fairness to Unmeasured ConfoundingPoster76 citations
27. Variational Regret Bounds for Reinforcement LearningPoster76 citations
28. P3O: Policy-on Policy-off Policy OptimizationPoster74 citations
29. Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic FunctionsPoster67 citations
30. A Bayesian Approach to Robust Reinforcement LearningPoster59 citations
31. Towards a Better Understanding and Regularization of GAN Training DynamicsPoster56 citations
32. Variational Sparse CodingPoster56 citations
33. Identification In Missing Data Models Represented By Directed Acyclic GraphsPoster54 citations
34. Revisiting Reweighted Wake-Sleep for Models with Stochastic Control FlowPoster54 citations
35. Learnability for the Information BottleneckPoster48 citations
36. Randomized Value Functions via Multiplicative Normalizing FlowsPoster47 citations
37. Adaptively Truncating Backpropagation Through Time to Control Gradient BiasPoster46 citations
38. Perturbed-History Exploration in Stochastic Linear BanditsPoster46 citations
39. Learning Belief Representations for Imitation Learning in POMDPsPoster45 citations
40. Causal Calculus in the Presence of Cycles, Latent Confounders and Selection BiasPoster44 citations
41. Fisher-Bures Adversary Graph Convolutional NetworksPoster42 citations
42. Neural Dynamics Discovery via Gaussian Process Recurrent Neural NetworksPoster42 citations
43. Convergence Analysis of Gradient-Based Learning in Continuous GamesPoster40 citations
44. Beyond Structural Causal Models: Causal Constraints ModelsPoster39 citations
45. Off-Policy Policy Gradient with Stationary Distribution CorrectionPoster38 citations
46. Active Multi-Information Source Bayesian QuadraturePoster37 citations
47. Efficient Neural Network Verification with Exactness CharacterizationPoster35 citations
48. Sampling-Free Variational Inference of Bayesian Neural Networks by Variance BackpropagationPoster35 citations
49. Learning with Non-Convex Truncated Losses by SGDPoster33 citations
50. BubbleRank: Safe Online Learning to Re-Rank via Implicit Click FeedbackPoster32 citations
51. Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to RankPoster32 citations
52. Cubic Regularization with Momentum for Nonconvex OptimizationPoster32 citations
53. Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data AugmentationPoster32 citations
54. The Role of Memory in Stochastic OptimizationPoster31 citations
55. Efficient Search-Based Weighted Model IntegrationPoster29 citations
56. Adaptivity and Optimality: A Universal Algorithm for Online Convex OptimizationPoster28 citations
57. Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement LearningPoster28 citations
58. Bayesian Optimization with Binary Auxiliary InformationPoster27 citations
59. Efficient Multitask Feature and Relationship LearningPoster27 citations
60. Embarrassingly Parallel MCMC using Deep Invertible TransformationsPoster27 citations
61. End-to-end Training of Deep Probabilistic CCA on Paired Biomedical ObservationsPoster27 citations
62. A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled LabelsPoster26 citations
63. Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective LearningPoster26 citations
64. Social Reinforcement Learning to Combat Fake News SpreadPoster26 citations
65. On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial BanditsPoster23 citations
66. How to Exploit Structure while Solving Weighted Model Integration ProblemsPoster21 citations
67. Co-training for Policy LearningPoster20 citations
68. Empirical Mechanism Design: Designing Mechanisms from DataPoster20 citations
69. Intervening on Network TiesPoster19 citations
70. Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR AssumptionPoster19 citations
71. Exact Sampling of Directed Acyclic Graphs from Modular DistributionsPoster18 citations
72. Approximate Relative Value Learning for Average-reward Continuous State MDPsPoster17 citations
73. Generating and Sampling Orbits for Lifted Probabilistic InferencePoster17 citations
74. Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice TheoremPoster16 citations
75. Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning ProblemsPoster16 citations
76. On Open-Universe Causal ReasoningPoster16 citations
77. Conditional Expectation PropagationPoster15 citations
78. Finding Minimal d-separators in Linear Time and ApplicationsPoster15 citations
79. On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss FunctionPoster15 citations
80. Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal DataPoster15 citations
81. Recommendation from Raw Data with Adaptive Compound Poisson FactorizationPoster15 citations
82. Towards Robust Relational Causal DiscoveryPoster15 citations
83. Fake It Till You Make It: Learning-Compatible Performance SupportPoster13 citations
84. Probability Distillation: A Caveat and AlternativesPoster13 citations
85. Problem-dependent Regret Bounds for Online Learning with Feedback GraphsPoster13 citations
86. Random Clique Covers for Graphs with Local Density and Global SparsityPoster13 citations
87. Adaptive Hashing for Model CountingPoster12 citations
88. Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference?Poster12 citations
89. Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation ZonesPoster12 citations
90. Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed SamplingPoster12 citations
91. Augmenting and Tuning Knowledge Graph EmbeddingsPoster11 citations
92. A Weighted Mini-Bucket Bound for Solving Influence DiagramPoster10 citations
93. Exclusivity Graph Approach to Instrumental InequalitiesPoster10 citations
94. Guaranteed Scalable Learning of Latent Tree ModelsPoster10 citations
95. Object Conditioning for Causal InferencePoster10 citations
96. On the Relationship Between Satisfiability and Markov Decision ProcessesPoster10 citations
97. Reducing Exploration of Dying Arms in Mortal BanditsPoster10 citations
98. Approximate Inference in Structured Instances with Noisy Categorical ObservationsPoster9 citations
99. On Densification for Minwise HashingPoster9 citations
100. Variational Training for Large-Scale Noisy-OR Bayesian NetworksPoster9 citations
101. Joint Nonparametric Precision Matrix Estimation with ConfoundingPoster8 citations
102. Periodic Kernel Approximation by Index Set Fourier Series FeaturesPoster8 citations
103. Randomized Iterative Algorithms for Fisher Discriminant AnalysisPoster8 citations
104. Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in NeuroimagingPoster8 citations
105. Efficient Planning Under Uncertainty with Incremental RefinementPoster7 citations
106. Learning Factored Markov Decision Processes with UnawarenessPoster7 citations
107. A Tighter Analysis of Randomised Policy IterationPoster5 citations
108. Correlated Learning for Aggregation SystemsPoster5 citations
109. Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand RequestsPoster5 citations
110. One-Shot Marginal MAP Inference in Markov Random FieldsPoster5 citations
111. Online Factorization and Partition of Complex Networks by Random WalkPoster5 citations
112. Interpretable Almost Matching Exactly With Instrumental VariablesPoster4 citations
113. Real-Time Robotic Search using Structural Spatial Point ProcessesPoster3 citations
114. Stability of Linear Structural Equation Models of Causal InferencePoster3 citations
115. Comparing EM with GD in Mixture Models of Two ComponentsPoster2 citations
116. Be Greedy: How Chromatic Number meets Regret Minimization in Graph BanditsPoster
117. Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game TheoryPoster
118. The 35th Uncertainty in Artificial Intelligence Conference: PrefacePoster
119. Variational Inference of Penalized Regression with Submodular FunctionsPoster

Looking for submission deadlines instead? See the conference deadline calendar.