UAI 2024 Accepted Papers

The full list of 201 papers accepted at UAI 2024 (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. Discrete Probabilistic Inference as Control in Multi-path EnvironmentsPoster25 citations
2. Approximate Bayesian Computation with Path SignaturesPoster21 citations
3. On Convergence of Federated Averaging Langevin DynamicsPoster21 citations
4. Neural Optimal Transport with Lagrangian CostsPoster20 citations
5. Towards Minimax Optimality of Model-based Robust Reinforcement LearningPoster20 citations
6. BEARS Make Neuro-Symbolic Models Aware of their Reasoning ShortcutsPoster17 citations
7. End-to-end Conditional Robust OptimizationPoster17 citations
8. Revisiting Convergence of AdaGrad with Relaxed AssumptionsPoster16 citations
9. Amortized Variational Inference: When and Why?Poster14 citations
10. Learning Accurate and Interpretable Decision TreesPoster13 citations
11. Pix2Code: Learning to Compose Neural Visual Concepts as ProgramsPoster12 citations
12. Targeted Reduction of Causal ModelsPoster10 citations
13. Adjustment Identification Distance: A gadjid for Causal Structure LearningPoster9 citations
14. Multi-Relational Structural EntropyPoster9 citations
15. Polynomial Semantics of Tractable Probabilistic CircuitsPoster9 citations
16. Domain Adaptation with Cauchy-Schwarz DivergencePoster8 citations
17. Group Fairness in Predict-Then-Optimize Settings for Restless BanditsPoster8 citations
18. Metric Learning from Limited Pairwise Preference ComparisonsPoster8 citations
19. Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal StatesPoster8 citations
20. Analysis of Bootstrap and Subsampling in High-dimensional Regularized RegressionPoster7 citations
21. Probabilities of Causation for Continuous and Vector VariablesPoster7 citations
22. Reflected Schrödinger Bridge for Constrained Generative ModelingPoster7 citations
23. Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion ModelsPoster7 citations
24. Conditional Bayesian QuadraturePoster6 citations
25. Extremely Greedy Equivalence SearchPoster6 citations
26. Identifiability of total effects from abstractions of time series causal graphsPoster6 citations
27. Normalizing Flows for Conformal RegressionPoster6 citations
28. Performative Reinforcement Learning in Gradually Shifting EnvironmentsPoster6 citations
29. $χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsPoster5 citations
30. Anomaly Detection with Variance Stabilized Density EstimationPoster5 citations
31. Bayesian Pseudo-Coresets via Contrastive DivergencePoster5 citations
32. DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with ContextPoster5 citations
33. Detecting critical treatment effect bias in small subgroupsPoster5 citations
34. Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic GamesPoster5 citations
35. Quantifying Representation Reliability in Self-Supervised Learning ModelsPoster5 citations
36. Towards Bounding Causal Effects under Markov EquivalencePoster5 citations
37. Understanding Pathologies of Deep Heteroskedastic RegressionPoster5 citations
38. Bayesian Active Learning in the Presence of Nuisance ParametersPoster4 citations
39. Decision-Focused Evaluation of Worst-Case Distribution ShiftPoster4 citations
40. Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLPPoster4 citations
41. Fair Active Learning in Low-Data RegimesPoster4 citations
42. GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive LearningPoster4 citations
43. Graph Contrastive Learning under Heterophily via Graph FiltersPoster4 citations
44. Label-wise Aleatoric and Epistemic Uncertainty QuantificationPoster4 citations
45. On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBotsPoster4 citations
46. On the Capacitated Facility Location Problem with Scarce ResourcesPoster4 citations
47. The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic DataPoster4 citations
48. To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion modelsPoster4 citations
49. Adaptive Time-Stepping Schedules for Diffusion ModelsPoster3 citations
50. BanditQ:Fair Bandits with Guaranteed RewardsPoster3 citations
51. CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMsPoster3 citations
52. Causally Abstracted Multi-armed BanditsPoster3 citations
53. Center-Based Relaxed Learning Against Membership Inference AttacksPoster3 citations
54. FedAST: Federated Asynchronous Simultaneous TrainingPoster3 citations
55. GeONet: a neural operator for learning the Wasserstein geodesicPoster3 citations
56. How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural NetworksPoster3 citations
57. Investigating the Impact of Model Width and Density on Generalization in Presence of Label NoisePoster3 citations
58. Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling ProblemPoster3 citations
59. Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome PairsPoster3 citations
60. Model-Free Robust Reinforcement Learning with Sample Complexity AnalysisPoster3 citations
61. No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian ProcessesPoster3 citations
62. Optimizing Language Models for Human Preferences is a Causal Inference ProblemPoster3 citations
63. Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language ModelsPoster3 citations
64. Publishing Number of Walks and Katz Centrality under Local Differential PrivacyPoster3 citations
65. QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained ClassifierPoster3 citations
66. Quantum Kernelized BanditsPoster3 citations
67. Recursively-Constrained Partially Observable Markov Decision ProcessesPoster3 citations
68. Revisiting Kernel Attention with Correlated Gaussian Process RepresentationPoster3 citations
69. A General Identification Algorithm For Data Fusion Problems Under Systematic SelectionPoster2 citations
70. A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time GraphsPoster2 citations
71. Approximation Algorithms for Observer Aware MDPsPoster2 citations
72. AutoDrop: Training Deep Learning Models with Automatic Learning Rate DropPoster2 citations
73. ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context EncodingPoster2 citations
74. Cooperative Meta-Learning with Gradient AugmentationPoster2 citations
75. Cost-Sensitive Uncertainty-Based Failure Recognition for Object DetectionPoster2 citations
76. Decentralized Two-Sided Bandit Learning in Matching MarketPoster2 citations
77. Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value DistributionsPoster2 citations
78. Equilibrium Computation in Multidimensional Congestion Games: CSP and Learning Dynamics ApproachesPoster2 citations
79. Evaluating Bayesian deep learning for radio galaxy classificationPoster2 citations
80. Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance SamplingPoster2 citations
81. Faster Perfect Sampling of Bayesian Network StructuresPoster2 citations
82. Functional Wasserstein Bridge Inference for Bayesian Deep LearningPoster2 citations
83. Generalized Expected Utility as a Universal Decision Rule – A Step ForwardPoster2 citations
84. Gradient descent in matrix factorization: Understanding large initializationPoster2 citations
85. Identifying Homogeneous and Interpretable Groups for Conformal PredictionPoster2 citations
86. Learning Causal Abstractions of Linear Structural Causal ModelsPoster2 citations
87. On the Inductive Biases of Demographic Parity-based Fair Learning AlgorithmsPoster2 citations
88. Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded VariancePoster2 citations
89. Privacy-Aware Randomized Quantization via Linear ProgrammingPoster2 citations
90. RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR PredictionPoster2 citations
91. Towards Representation Learning for Weighting Problems in Design-Based Causal InferencePoster2 citations
92. Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLPPoster2 citations
93. Transductive and Inductive Outlier Detection with Robust AutoencodersPoster2 citations
94. A Generalized Bayesian Approach to Distribution-on-Distribution RegressionPoster1 citations
95. Adaptive Softmax Trees for Many-Class ClassificationPoster1 citations
96. Base Models for Parabolic Partial Differential EquationsPoster1 citations
97. Calibrated and Conformal Propensity Scores for Causal Effect EstimationPoster1 citations
98. Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network MonitoringPoster1 citations
99. Causal Discovery with Deductive Reasoning: One Less ProblemPoster1 citations
100. Computing Low-Entropy Couplings for Large-Support DistributionsPoster1 citations
101. Consistency Regularization for Domain Generalization with Logit Attribution MatchingPoster1 citations
102. Differentially Private No-regret Exploration in Adversarial Markov Decision ProcessesPoster1 citations
103. DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distributionPoster1 citations
104. Early-Exit Neural Networks with Nested Prediction SetsPoster1 citations
105. Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path DiagramsPoster1 citations
106. End-to-End Learning for Fair Multiobjective Optimization Under UncertaintyPoster1 citations
107. EntProp: High Entropy Propagation for Improving Accuracy and RobustnessPoster1 citations
108. Exploring High-dimensional Search Space via Voronoi Graph TraversingPoster1 citations
109. Generalization and Learnability in Multiple Instance RegressionPoster1 citations
110. How Inverse Conditional Flows Can Serve as a Substitute for Distributional RegressionPoster1 citations
111. Identifying Causal Changes Between Linear Structural Equation ModelsPoster1 citations
112. Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via OptimizationPoster1 citations
113. Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical SystemsPoster1 citations
114. Knowledge Intensive Learning of Credal NetworksPoster1 citations
115. Learning to Rank for Active Learning via Multi-Task Bilevel OptimizationPoster1 citations
116. Linear Opinion Pooling for Uncertainty Quantification on GraphsPoster1 citations
117. Localised Natural Causal Learning Algorithms for Weak Consistency ConditionsPoster1 citations
118. Low-rank Matrix Bandits with Heavy-tailed RewardsPoster1 citations
119. MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual RepresentationsPoster1 citations
120. Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme ActivationsPoster1 citations
121. Multi-layer random features and the approximation power of neural networksPoster1 citations
122. Neural Architecture Search Finds Robust Models by Knowledge DistillationPoster1 citations
123. Non-stationary Domain Generalization: Theory and AlgorithmPoster1 citations
124. On the Convergence of Hierarchical Federated Learning with Partial Worker ParticipationPoster1 citations
125. One Shot Inverse Reinforcement Learning for Stochastic Linear BanditsPoster1 citations
126. Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision ProcessesPoster1 citations
127. Optimization Framework for Semi-supervised Attributed Graph CoarseningPoster1 citations
128. Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional ProgrammingPoster1 citations
129. Probabilistic reconciliation of mixed-type hierarchical time seriesPoster1 citations
130. Pure Exploration in Asynchronous Federated BanditsPoster1 citations
131. Quantization of Large Language Models with an Overdetermined BasisPoster1 citations
132. Response Time Improves Gaussian Process Models for Perception and PreferencesPoster1 citations
133. Sample Average Approximation for Black-Box Variational InferencePoster1 citations
134. Statistical and Causal Robustness for Causal Null Hypothesis TestsPoster1 citations
135. Trusted re-weighting for label distribution learningPoster1 citations
136. Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance SamplingPoster1 citations
137. Using Autodiff to Estimate Posterior Moments, Marginals and SamplesPoster1 citations
138. Walking the Values in Bayesian Inverse Reinforcement LearningPoster1 citations
139. A Graph Theoretic Approach for Preference Learning with Feature InformationPoster
140. A Homogenization Approach for Gradient-Dominated Stochastic OptimizationPoster
141. Active Learning Framework for Incomplete NetworksPoster
142. Approximate Kernel Density Estimation under Metric-based Local Differential PrivacyPoster
143. Bandits with Knapsacks and PredictionsPoster
144. Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep LearningPoster
145. Bias-aware Boolean Matrix Factorization Using Disentangled Representation LearningPoster
146. Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed RewardsPoster
147. Bounding causal effects with leaky instrumentsPoster
148. Characterising Interventions in Causal GamesPoster
149. Characterizing Data Point Vulnerability as Average-Case RobustnessPoster
150. Cold-start Recommendation by Personalized Embedding Region ElicitationPoster
151. Common Event Tethering to Improve Prediction of Rare Clinical EventsPoster
152. Convergence Behavior of an Adversarial Weak Supervision MethodPoster
153. Decentralized Online Learning in General-Sum Stackelberg GamesPoster
154. Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect EstimationPoster
155. Efficient Interactive Maximization of BP and Weakly Submodular ObjectivesPoster
156. Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action AbstractionPoster
157. Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning FrameworkPoster
158. Fast Interactive Search under a Scale-Free Comparison OraclePoster
159. Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms.Poster
160. Functional Wasserstein Variational Policy OptimizationPoster
161. General Markov Model for Solving Patrolling GamesPoster
162. Graph Feedback Bandits with Similar ArmsPoster
163. Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized SmoothingPoster
164. Hidden Population Estimation with Indirect Inference and Auxiliary InformationPoster
165. Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree SearchPoster
166. ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label LearningPoster
167. Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental VariablePoster
168. Inference for Optimal Linear Treatment Regimes in Personalized Decision-makingPoster
169. Invariant Causal Prediction with Local ModelsPoster
170. Label Consistency-based Worker Filtering for CrowdsourcingPoster
171. Latent Representation Entropy Density for Distribution Shift DetectionPoster
172. Learning Distributionally Robust Tractable Probabilistic Models in Continuous DomainsPoster
173. Learning from Crowds with Dual-View K-Nearest NeighborPoster
174. Learning relevant contextual variables within Bayesian optimizationPoster
175. Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and DesirabilityPoster
176. Masking the Unknown: Leveraging Masked Samples for Enhanced Data AugmentationPoster
177. Memorization Capacity for Additive Fine-Tuning with Small ReLU NetworksPoster
178. Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent FidelityPoster
179. Neighbor Similarity and Multimodal Alignment based Product Recommendation StudyPoster
180. Neural Active Learning Meets the Partial Monitoring FrameworkPoster
181. Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPsPoster
182. Offline Reward Perturbation Boosts Distributional Shift in Online RLPoster
183. On Hardware-efficient Inference in Probabilistic CircuitsPoster
184. Online Policy Optimization for Robust Markov Decision ProcessPoster
185. Partial identification of the maximum mean discrepancy with mismeasured dataPoster
186. Power Mean Estimation in Stochastic Monte-Carlo Tree SearchPoster
187. Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence – PrefacePoster
188. Products, Abstractions and Inclusions of Causal SpacesPoster
189. Quantifying Local Model Validity using Active LearningPoster
190. Random Linear Projections Loss for Hyperplane-Based Optimization in Neural NetworksPoster
191. Robust Entropy Search for Safe Efficient Bayesian OptimizationPoster
192. SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total CorrelationPoster
193. Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability ObjectivesPoster
194. Stein Random Feature RegressionPoster
195. Support Recovery in Sparse PCA with General Missing DataPoster
196. Uncertainty Estimation with Recursive Feature MachinesPoster
197. Unsupervised Feature Selection towards Pattern Discrimination PowerPoster
198. Value-Based Abstraction Functions for Abstraction SamplingPoster
199. Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support RegionsPoster
200. Zero Inflation as a Missing Data Problem: a Proxy-based ApproachPoster
201. \ensuremathα-Former: Local-Feature-Aware (L-FA) TransformerPoster

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