UAI 2023 Accepted Papers

The full list of 243 papers accepted at UAI 2023 (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. Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?Poster83 citations
2. Aligned Diffusion Schrödinger BridgesPoster71 citations
3. Efficient Privacy-Preserving Stochastic Nonconvex OptimizationPoster62 citations
4. Jana: Jointly amortized neural approximation of complex Bayesian modelsPoster43 citations
5. Stochastic Generative Flow NetworksPoster39 citations
6. SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language ModelsPoster37 citations
7. Is the volume of a credal set a good measure for epistemic uncertainty?Poster36 citations
8. BISCUIT: Causal Representation Learning from Binary InteractionsPoster33 citations
9. Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated LearningPoster31 citations
10. Approximate Thompson Sampling via Epistemic Neural NetworksPoster30 citations
11. CrysMMNet: Multimodal Representation for Crystal Property PredictionPoster24 citations
12. Random Reshuffling with Variance Reduction: New Analysis and Better RatesPoster24 citations
13. Causal Discovery for time series from multiple datasets with latent contextsPoster22 citations
14. Probabilistically robust conformal predictionPoster21 citations
15. Human Control: Definitions and AlgorithmsPoster20 citations
16. On the informativeness of supervision signalsPoster17 citations
17. Benign Overfitting in Adversarially Robust Linear ClassificationPoster16 citations
18. Neural probabilistic logic programming in discrete-continuous domainsPoster16 citations
19. On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasksPoster16 citations
20. When are post-hoc conceptual explanations identifiable?Poster16 citations
21. Robust statistical comparison of random variables with locally varying scale of measurementPoster15 citations
22. Fairness-aware class imbalanced learning on multiple subgroupsPoster14 citations
23. Mitigating Transformer Overconfidence via Lipschitz RegularizationPoster14 citations
24. Active metric learning and classification using similarity queriesPoster13 citations
25. Approximating probabilistic explanations via supermodular minimizationPoster13 citations
26. Fast Teammate Adaptation in the Presence of Sudden Policy ChangePoster13 citations
27. Hallucinated adversarial control for conservative offline policy evaluationPoster13 citations
28. Provably Efficient Adversarial Imitation Learning with Unknown TransitionsPoster13 citations
29. Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network CalibrationPoster13 citations
30. Convergence rates for localized actor-critic in networked Markov potential gamesPoster12 citations
31. Dirichlet Proportions Model for Hierarchically Coherent Probabilistic ForecastingPoster12 citations
32. Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration EstimatorPoster12 citations
33. Guided Deep Kernel LearningPoster12 citations
34. MMEL: A Joint Learning Framework for Multi-Mention Entity LinkingPoster12 citations
35. Multi-view graph contrastive learning for solving vehicle routing problemsPoster12 citations
36. Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global ContextPoster12 citations
37. Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic InferencePoster12 citations
38. $E(2)$-Equivariant Vision TransformerPoster11 citations
39. A one-sample decentralized proximal algorithm for non-convex stochastic composite optimizationPoster11 citations
40. A trajectory is worth three sentences: multimodal transformer for offline reinforcement learningPoster11 citations
41. Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowPoster11 citations
42. Incentivizing honest performative predictions with proper scoring rulesPoster11 citations
43. Low-rank matrix recovery with unknown correspondencePoster11 citations
44. MixupE: Understanding and improving Mixup from directional derivative perspectivePoster11 citations
45. On the Role of Generalization in Transferability of Adversarial ExamplesPoster11 citations
46. Causal Discovery with Hidden Confounders using the Algorithmic Markov ConditionPoster10 citations
47. Differential Privacy in Cooperative Multiagent PlanningPoster10 citations
48. Fast Heterogeneous Federated Learning with Hybrid Client SelectionPoster10 citations
49. How to use dropout correctly on residual networks with batch normalizationPoster10 citations
50. Human-in-the-Loop MixupPoster10 citations
51. Meta-learning Control Variates: Variance Reduction with Limited DataPoster10 citations
52. Neural tangent kernel at initialization: linear width sufficesPoster10 citations
53. Partial identification of dose responses with hidden confoundersPoster10 citations
54. Practical privacy-preserving Gaussian process regression via secret sharingPoster10 citations
55. Probabilistic Multi-Dimensional ClassificationPoster10 citations
56. Probabilistic circuits that know what they don’t knowPoster10 citations
57. Robust distillation for worst-class performance: on the interplay between teacher and student objectivesPoster10 citations
58. Size-constrained k-submodular maximization in near-linear timePoster10 citations
59. Solving multi-model MDPs by coordinate ascent and dynamic programmingPoster10 citations
60. Universal Graph Contrastive Learning with a Novel Laplacian PerturbationPoster10 citations
61. Approximately Bayes-optimal pseudo-label selectionPoster9 citations
62. Conditional counterfactual causal effect for individual attributionPoster9 citations
63. Conformal Risk Control for Ordinal ClassificationPoster9 citations
64. Fixed-Budget Best-Arm Identification with Heterogeneous Reward VariancesPoster9 citations
65. Functional causal Bayesian optimizationPoster9 citations
66. Knowledge Intensive Learning of Cutset NetworksPoster9 citations
67. On inference and learning with probabilistic generating circuitsPoster9 citations
68. A Data-Driven State Aggregation Approach for Dynamic Discrete Choice ModelsPoster8 citations
69. BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagationPoster8 citations
70. Gaussian Process Surrogate Models for Neural NetworksPoster8 citations
71. Generating Synthetic Datasets by Interpolating along Generalized GeodesicsPoster8 citations
72. Improvable Gap Balancing for Multi-Task LearningPoster8 citations
73. Inference of a rumor’s source in the independent cascade modelPoster8 citations
74. Learning Choice Functions with Gaussian ProcessesPoster8 citations
75. Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution ShiftingPoster8 citations
76. On Testability and Goodness of Fit Tests in Missing Data ModelsPoster8 citations
77. Personalized federated domain adaptation for item-to-item recommendationPoster8 citations
78. Adaptivity Complexity for Causal Graph DiscoveryPoster7 citations
79. Amortized Inference for Gaussian Process Hyperparameters of Structured KernelsPoster7 citations
80. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language ModelsPoster7 citations
81. Conditional abstraction trees for sample-efficient reinforcement learningPoster7 citations
82. Copula-based deep survival models for dependent censoringPoster7 citations
83. Diversity-enhanced probabilistic ensemble for uncertainty estimationPoster7 citations
84. Do we become wiser with time? On causal equivalence with tiered background knowledgePoster7 citations
85. Efficiently learning the graph for semi-supervised learningPoster7 citations
86. Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for ClassificationPoster7 citations
87. Fast and scalable score-based kernel calibration testsPoster7 citations
88. Heavy-tailed linear bandit with Huber regressionPoster7 citations
89. Lifelong bandit optimization: no prior and no regretPoster7 citations
90. No-Regret Linear Bandits beyond RealizabilityPoster7 citations
91. On the role of model uncertainties in Bayesian optimisationPoster7 citations
92. Online estimation of similarity matrices with incomplete dataPoster7 citations
93. Scaling integer arithmetic in probabilistic programsPoster7 citations
94. The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational InferencePoster7 citations
95. Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankingsPoster7 citations
96. AUC Maximization in Imbalanced Lifelong LearningPoster6 citations
97. An improved variational approximate posterior for the deep Wishart processPoster6 citations
98. Bandits with costly reward observationsPoster6 citations
99. Causal information splitting: Engineering proxy features for robustness to distribution shiftsPoster6 citations
100. Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learningPoster6 citations
101. Deep Gaussian mixture ensemblesPoster6 citations
102. Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space RevisitedPoster6 citations
103. Heteroskedastic Geospatial Tracking with Distributed Camera NetworksPoster6 citations
104. Multi-View Independent Component Analysis with Shared and Individual SourcesPoster6 citations
105. On Minimizing the Impact of Dataset Shifts on Actionable ExplanationsPoster6 citations
106. Optimal Budget Allocation for Crowdsourcing Labels for GraphsPoster6 citations
107. Optimistic Thompson Sampling-based algorithms for episodic reinforcement learningPoster6 citations
108. Simple Transferability Estimation for Regression TasksPoster6 citations
109. Sufficient identification conditions and semiparametric estimation under missing not at random mechanismsPoster6 citations
110. TCE: A Test-Based Approach to Measuring Calibration ErrorPoster6 citations
111. Transfer learning for individual treatment effect estimationPoster6 citations
112. A decoder suffices for query-adaptive variational inferencePoster5 citations
113. A policy gradient approach for optimization of smooth risk measuresPoster5 citations
114. ASTRA: Understanding the practical impact of robustness for probabilistic programsPoster5 citations
115. Adaptive Conditional Quantile Neural ProcessesPoster5 citations
116. An effective negotiating agent framework based on deep offline reinforcement learningPoster5 citations
117. Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive InterventionsPoster5 citations
118. Differentially private synthetic data using KD-treesPoster5 citations
119. Expectation consistency for calibration of neural networksPoster5 citations
120. Graph classification Gaussian processes via spectral featuresPoster5 citations
121. Learning from Low Rank Tensor Data: A Random Tensor Theory PerspectivePoster5 citations
122. Learning good interventions in causal graphs via coveringPoster5 citations
123. Logit-based ensemble distribution distillation for robust autoregressive sequence uncertaintiesPoster5 citations
124. Maximizing submodular functions under submodular constraintsPoster5 citations
125. Multi-modal differentiable unsupervised feature selectionPoster5 citations
126. On Identifiability of Conditional Causal EffectsPoster5 citations
127. Pessimistic Model Selection for Offline Deep Reinforcement LearningPoster5 citations
128. Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi FilterPoster5 citations
129. Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RLPoster5 citations
130. Residual-based error bound for physics-informed neural networksPoster5 citations
131. Risk-limiting financial audits via weighted sampling without replacementPoster5 citations
132. Robust Gaussian process regression with the trimmed marginal likelihoodPoster5 citations
133. Semi-supervised learning of partial differential operators and dynamical flowsPoster5 citations
134. SubMix: Learning to Mix Graph Sampling HeuristicsPoster5 citations
135. Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and PredictionPoster5 citations
136. Towards better certified segmentation via diffusion modelsPoster5 citations
137. A near-optimal high-probability swap-Regret upper bound for multi-agent bandits in unknown general-sum gamesPoster4 citations
138. Bounding the optimal value function in compositional reinforcement learningPoster4 citations
139. Copula for Instance-wise Feature Selection and RankPoster4 citations
140. Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.Poster4 citations
141. Energy-based Predictive Representations for Partially Observed Reinforcement LearningPoster4 citations
142. Establishing Markov equivalence in cyclic directed graphsPoster4 citations
143. Federated learning of models pre-trained on different features with consensus graphsPoster4 citations
144. In- or out-of-distribution detection via dual divergence estimationPoster4 citations
145. Loosely consistent emphatic temporal-difference learningPoster4 citations
146. Modified Retrace for Off-Policy Temporal Difference LearningPoster4 citations
147. Nyström $M$-Hilbert-Schmidt independence criterionPoster4 citations
148. On the Convergence of Continual Learning with Adaptive MethodsPoster4 citations
149. Parity calibrationPoster4 citations
150. Quasi-Bayesian nonparametric density estimation via autoregressive predictive updatesPoster4 citations
151. Revisiting Bayesian network learning with small vertex coverPoster4 citations
152. Robust Quickest Change Detection for Unnormalized ModelsPoster4 citations
153. Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s GeometryPoster4 citations
154. Validation of composite systems by discrepancy propagationPoster4 citations
155. A Bayesian approach for bandit online optimization with switching costPoster3 citations
156. Differentiable user modelsPoster3 citations
157. Finite-sample guarantees for Nash Q-learning with linear function approximationPoster3 citations
158. Greed is good: correspondence recovery for unlabeled linear regressionPoster3 citations
159. Inference and sampling of point processes from diffusion excursionsPoster3 citations
160. Learning Nonlinear Causal Effect via Kernel Anchor RegressionPoster3 citations
161. Learning robust representation for reinforcement learning with distractions by reward sequence predictionPoster3 citations
162. MFA: Multi-layer Feature-aware Attack for Object DetectionPoster3 citations
163. Massively parallel reweighted wake-sleepPoster3 citations
164. Memory Mechanism for Unsupervised Anomaly DetectionPoster3 citations
165. Noisy adversarial representation learning for effective and efficient image obfuscationPoster3 citations
166. Nonconvex stochastic scaled gradient descent and generalized eigenvector problemsPoster3 citations
167. Online Heavy-tailed Change-point detectionPoster3 citations
168. Pandering in a (flexible) representative democracyPoster3 citations
169. Phase-shifted adversarial trainingPoster3 citations
170. Piecewise Deterministic Markov Processes for Bayesian Neural NetworksPoster3 citations
171. Reward-machine-guided, self-paced reinforcement learningPoster3 citations
172. Risk-aware curriculum generation for heavy-tailed task distributionsPoster3 citations
173. Scalable and robust tensor ring decomposition for large-scale dataPoster3 citations
174. Stochastic Graphical Bandits with Heavy-Tailed RewardsPoster3 citations
175. SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPsPoster3 citations
176. The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process modelsPoster3 citations
177. USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolutionPoster3 citations
178. Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder DimensionPoster3 citations
179. Vacant holes for unsupervised detection of the outliers in compact latent representationPoster3 citations
180. Bayesian inference for vertex-series-parallel partial ordersPoster2 citations
181. Benefits of monotonicity in safe exploration with Gaussian processesPoster2 citations
182. Best arm identification in rare eventsPoster2 citations
183. Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detectionPoster2 citations
184. Causal inference with outcome-dependent missingness and self-censoringPoster2 citations
185. Combinatorial categorized bandits with expert rankingsPoster2 citations
186. Content Sharing Design for Social Welfare in Networked Disclosure GamePoster2 citations
187. Contrastive learning for supervised graph matchingPoster2 citations
188. Correcting for selection bias and missing response in regression using privileged informationPoster2 citations
189. Exploiting Inferential Structure in Neural ProcessesPoster2 citations
190. Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?Poster2 citations
191. FLASH: Automating federated learning using CASHPoster2 citations
192. Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated LearningPoster2 citations
193. Finding Invariant Predictors Efficiently via Causal StructurePoster2 citations
194. Incentivising Diffusion while Preserving Differential PrivacyPoster2 citations
195. Increasing effect sizes of pairwise conditional independence tests between random vectorsPoster2 citations
196. Inference for mark-censored temporal point processesPoster2 citations
197. Inference for probabilistic dependency graphsPoster2 citations
198. Information theoretic clustering via divergence maximization among clustersPoster2 citations
199. Learning in online MDPs: is there a price for handling the communicating case?Poster2 citations
200. Mnemonist: Locating Model Parameters that Memorize Training ExamplesPoster2 citations
201. On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy EvaluationPoster2 citations
202. Posterior sampling-based online learning for the stochastic shortest path modelPoster2 citations
203. Quantifying lottery tickets under label noise: accuracy, calibration, and complexityPoster2 citations
204. Split, count, and share: a differentially private set intersection cardinality estimation protocolPoster2 citations
205. Towards Physically Reliable Molecular Representation LearningPoster2 citations
206. Two-phase Attacks in Security GamesPoster2 citations
207. Two-stage Kernel Bayesian Optimization in High DimensionsPoster2 citations
208. Two-stage holistic and contrastive explanation of image classificationPoster2 citations
209. Variable importance matching for causal inferencePoster2 citations
210. ViBid: Linear Vision Transformer with Bidirectional NormalizationPoster2 citations
211. A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networksPoster1 citations
212. Accelerating Voting by Quantum ComputationPoster1 citations
213. Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamicsPoster1 citations
214. Causal effect estimation from observational and interventional data through matrix weighted linear estimatorsPoster1 citations
215. Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic GraphsPoster1 citations
216. Efficient Learning of Minimax Risk Classifiers in High DimensionsPoster1 citations
217. Interpretable differencing of machine learning modelsPoster1 citations
218. Investigating a Generalization of Probabilistic Material Implication and Bayesian ConditionalsPoster1 citations
219. KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimizationPoster1 citations
220. Local Message Passing on Frustrated SystemsPoster1 citations
221. MDPose: real-time multi-person pose estimation via mixture density modelPoster1 citations
222. Mixture of Normalizing Flows for European Option PricingPoster1 citations
223. Monte-Carlo Search for an Equilibrium in Dec-POMDPsPoster1 citations
224. RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution MatchingPoster1 citations
225. Structure-aware robustness certificates for graph classificationPoster1 citations
226. Testing conventional wisdom (of the crowd)Poster1 citations
227. A constrained Bayesian approach to out-of-distribution predictionPoster
228. Baysian numerical integration with neural networksPoster
229. Bidirectional Attention as a Mixture of Continuous Word ExpertsPoster
230. Blackbox optimization of unimodal functionsPoster
231. Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFOPoster
232. Composing Efficient, Robust Tests for Policy SelectionPoster
233. DeepGD3: Unknown-Aware Deep Generative/Discriminative Hybrid Defect Detector for PCB Soldering InspectionPoster
234. Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background DynamicsPoster
235. Efficient Failure Pattern Identification of Predictive AlgorithmsPoster
236. Graph Self-supervised Learning via Proximity Distribution MinimizationPoster
237. Implicit Training of Inference Network Models for Structured PredictionPoster
238. Keep-Alive Caching for the Hawkes processPoster
239. Learning to reason about contextual knowledge for planning under uncertaintyPoster
240. Locally Regularized Sparse Graph by Fast Proximal Gradient DescentPoster
241. Regularized online DR-submodular optimizationPoster
242. Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat dataPoster
243. Scalable nonparametric Bayesian learning for dynamic velocity fieldsPoster

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