UAI 2020 Accepted Papers

The full list of 140 papers accepted at UAI 2020 (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. Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasetsPoster279 citations
2. Adapting Text Embeddings for Causal InferencePoster158 citations
3. Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical ComparisonPoster116 citations
4. Greedy Policy Search: A Simple Baseline for Learnable Test-Time AugmentationPoster109 citations
5. Permutation-Based Causal Structure Learning with Unknown Intervention TargetsPoster106 citations
6. On Counterfactual Explanations under Predictive MultiplicityPoster98 citations
7. Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time SeriesPoster92 citations
8. Verifying Individual Fairness in Machine Learning ModelsPoster81 citations
9. Dueling Posterior Sampling for Preference-Based Reinforcement LearningPoster80 citations
10. Regret Analysis of Bandit Problems with Causal Background KnowledgePoster80 citations
11. Fair Contextual Multi-Armed Bandits: Theory and ExperimentsPoster79 citations
12. Probabilistic Safety for Bayesian Neural NetworksPoster67 citations
13. Lagrangian Decomposition for Neural Network VerificationPoster65 citations
14. A SUPER* Algorithm to Optimize Paper Bidding in Peer ReviewPoster56 citations
15. Neural Likelihoods via Cumulative Distribution FunctionsPoster55 citations
16. Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of CyclesPoster54 citations
17. Identifying causal effects in maximally oriented partially directed acyclic graphsPoster49 citations
18. Amortized Bayesian Optimization over Discrete SpacesPoster48 citations
19. Robust $k$-means++Poster47 citations
20. Prediction Intervals: Split Normal Mixture from Quality-Driven Deep EnsemblesPoster44 citations
21. Bayesian Online Prediction of Change PointsPoster43 citations
22. Statistically Efficient Greedy Equivalence SearchPoster40 citations
23. Locally Masked Convolution for Autoregressive ModelsPoster36 citations
24. Testing Goodness of Fit of Conditional Density Models with KernelsPoster36 citations
25. Multitask Soft Option LearningPoster34 citations
26. Deep Sigma Point ProcessesPoster33 citations
27. Semi-supervised learning, causality, and the conditional cluster assumptionPoster33 citations
28. Kernel Conditional Moment Test via Maximum Moment RestrictionPoster32 citations
29. Popularity Agnostic Evaluation of Knowledge Graph EmbeddingsPoster32 citations
30. Active Model Estimation in Markov Decision ProcessesPoster31 citations
31. Efficient Rollout Strategies for Bayesian OptimizationPoster31 citations
32. PAC-Bayesian Contrastive Unsupervised Representation LearningPoster31 citations
33. TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLPPoster31 citations
34. Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian NoisePoster30 citations
35. Learning to learn generative programs with Memoised Wake-SleepPoster30 citations
36. Learning Intrinsic Rewards as a Bi-Level Optimization ProblemPoster29 citations
37. Mutual Information Based Knowledge Transfer Under State-Action Dimension MismatchPoster28 citations
38. Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational EmbeddingsPoster28 citations
39. Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient EstimatorPoster26 citations
40. Generalized Bayesian Posterior Expectation Distillation for Deep Neural NetworksPoster25 citations
41. Non Parametric Graph Learning for Bayesian Graph Neural NetworksPoster25 citations
42. 99% of Worker-Master Communication in Distributed Optimization Is Not NeededPoster24 citations
43. Compositional uncertainty in deep Gaussian processesPoster24 citations
44. IDA with Background KnowledgePoster24 citations
45. Semi-bandit Optimization in the Dispersed SettingPoster24 citations
46. Submodular Bandit Problem Under Multiple ConstraintsPoster24 citations
47. What You See May Not Be What You Get: UCB Bandit Algorithms Robust to $\varepsilon$-ContaminationPoster24 citations
48. Graphical continuous Lyapunov modelsPoster23 citations
49. Flexible Prior Elicitation via the Prior Predictive DistributionPoster22 citations
50. No-regret Exploration in Contextual Reinforcement LearningPoster22 citations
51. Selling Data at an Auction under Privacy ConstraintsPoster22 citations
52. Stable Policy Optimization via Off-Policy Divergence RegularizationPoster22 citations
53. Structure Learning for Cyclic Linear Causal ModelsPoster22 citations
54. Randomized Exploration for Non-Stationary Stochastic Linear BanditsPoster21 citations
55. A Simple Online Algorithm for Competing with Dynamic ComparatorsPoster20 citations
56. Complete Dictionary Learning via $\ell_p$-norm MaximizationPoster20 citations
57. Faster algorithms for Markov equivalencePoster20 citations
58. Anchored Causal Inference in the Presence of Measurement ErrorPoster19 citations
59. Deriving Bounds And Inequality Constraints Using Logical Relations Among CounterfactualsPoster18 citations
60. MaskAAE: Latent space optimization for Adversarial Auto-EncodersPoster18 citations
61. Measurement Dependence Inducing Latent Causal ModelsPoster18 citations
62. Towards Threshold Invariant Fair ClassificationPoster18 citations
63. Zeroth Order Non-convex optimization with Dueling-Choice BanditsPoster18 citations
64. Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computationPoster17 citations
65. C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulationPoster17 citations
66. GPIRT: A Gaussian Process Model for Item Response TheoryPoster16 citations
67. On the design of consequential ranking algorithmsPoster16 citations
68. Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative ModelsPoster16 citations
69. Streaming Nonlinear Bayesian Tensor DecompositionPoster15 citations
70. Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect EstimationPoster14 citations
71. Nonparametric Fisher Geometry with Application to Density EstimationPoster14 citations
72. Stochastic Variational Inference for Dynamic Correlated Topic ModelsPoster14 citations
73. A Practical Riemannian Algorithm for Computing Dominant Generalized EigenspacePoster13 citations
74. Differentially Private Small Dataset Release Using Random ProjectionsPoster13 citations
75. Identification and Estimation of Causal Effects Defined by Shift InterventionsPoster13 citations
76. Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable ModelsPoster13 citations
77. Learning LWF Chain Graphs: A Markov Blanket Discovery ApproachPoster13 citations
78. Sensor Placement for Spatial Gaussian Processes with Integral ObservationsPoster13 citations
79. Complex Markov Logic Networks: Expressivity and LiftabilityPoster12 citations
80. Differentially Private Top-k Selection via Stability on Unknown DomainPoster12 citations
81. On the Relationship Between Probabilistic Circuits and Determinantal Point ProcessesPoster12 citations
82. Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical SystemsPoster12 citations
83. Active Learning of Conditional Mean Embeddings via Bayesian OptimisationPoster11 citations
84. EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance MatricesPoster11 citations
85. How Private Are Commonly-Used Voting Rules?Poster11 citations
86. An Interpretable and Sample Efficient Deep Kernel for Gaussian ProcessPoster10 citations
87. Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal EffectsPoster10 citations
88. Distortion estimates for approximate Bayesian inferencePoster10 citations
89. Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden ConfoundersPoster10 citations
90. Robust Collective Classification against Structural AttacksPoster10 citations
91. Batch norm with entropic regularization turns deterministic autoencoders into generative modelsPoster9 citations
92. Coresets for Estimating Means and Mean Square Error with Limited Greedy SamplesPoster9 citations
93. Learning Behaviors with Uncertain Human FeedbackPoster9 citations
94. Mixed-Membership Stochastic Block Models for Weighted NetworksPoster9 citations
95. The Hawkes Edge Partition Model for Continuous-time Event-based Temporal NetworksPoster9 citations
96. Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition FrameworkPoster9 citations
97. Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep LearningPoster8 citations
98. Causal screening in dynamical systemsPoster8 citations
99. Divergence-Based Motivation for Online EM and Combining Hidden Variable ModelsPoster8 citations
100. Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average RewardPoster8 citations
101. Kidney Exchange with Inhomogeneous Edge Existence UncertaintyPoster8 citations
102. Evaluation of Causal Structure Learning Algorithms via Risk EstimationPoster7 citations
103. Exploration Analysis in Finite-Horizon Turn-based Stochastic GamesPoster7 citations
104. Layering-MCMC for Structure Learning in Bayesian NetworksPoster7 citations
105. One-Bit Compressed Sensing via One-Shot Hard ThresholdingPoster7 citations
106. Ordering Variables for Weighted Model IntegrationPoster7 citations
107. Robust contrastive learning and nonlinear ICA in the presence of outliersPoster7 citations
108. Spectral Methods for Ranking with Scarce DataPoster7 citations
109. Walking on Two Legs: Learning Image Segmentation with Noisy LabelsPoster7 citations
110. Automated Dependence PlotsPoster6 citations
111. Flexible Approximate Inference via Stratified Normalizing FlowsPoster6 citations
112. Robust Spatial-Temporal Incident PredictionPoster6 citations
113. Skewness Ranking Optimization for Personalized RecommendationPoster6 citations
114. Unknown mixing times in apprenticeship and reinforcement learningPoster6 citations
115. Amortized variance reduction for doubly stochastic objectivePoster5 citations
116. Bounding the expected run-time of nonconvex optimization with early stoppingPoster5 citations
117. Election Control by Manipulating Issue SignificancePoster5 citations
118. Improved Vector Pruning in Exact Algorithms for Solving POMDPsPoster5 citations
119. OCEAN: Online Task Inference for Compositional Tasks with Context AdaptationPoster5 citations
120. Semi-supervised Sequential Generative ModelsPoster5 citations
121. Static and Dynamic Values of Computation in MCTSPoster5 citations
122. Robust modal regression with direct gradient approximation of modal regression riskPoster4 citations
123. Slice Sampling for General Completely Random MeasuresPoster4 citations
124. Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed BanditsPoster3 citations
125. Estimation Rates for Sparse Linear Cyclic Causal ModelsPoster3 citations
126. Learning by Repetition: Stochastic Multi-armed Bandits under Priming EffectPoster3 citations
127. Model-Augmented Conditional Mutual Information Estimation for Feature SelectionPoster3 citations
128. PoRB-Nets: Poisson Process Radial Basis Function NetworksPoster3 citations
129. Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet ProcessesPoster3 citations
130. Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual BanditsPoster2 citations
131. MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable ModelsPoster2 citations
132. Adversarial Learning for 3D MatchingPoster1 citations
133. Iterative Channel Estimation for Discrete Denoising under Channel UncertaintyPoster1 citations
134. Online Parameter-Free Learning of Multiple Low Variance TasksPoster1 citations
135. Optimal Statistical Hypothesis Testing for Social ChoicePoster1 citations
136. Provably Efficient Third-Person Imitation from Offline ObservationPoster1 citations
137. Risk Bounds for Low Cost Bipartite RankingPoster1 citations
138. High Dimensional Discrete Integration over the HypergridPoster
139. Semi-Supervised Learning: the Case When Unlabeled Data is Equally UsefulPoster
140. The Indian Chefs ProcessPoster

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