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Volume 337: Conference on Uncertainty in Artificial Intelligence, 17-21 August 2026, KIT, Amsterdam, the Netherlands
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Editors: Emilija Perković, Daniel Malinsky
Distilling Safe LLM Systems via Soft Prompts for On Device Settings
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1-18
Contrastive Conformal Sets
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:19-38
PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:39-61
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:62-86
When and How Often is Weighted Majority Vote Optimal Under Log Loss?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:87-132
Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:133-160
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:161-184
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:185-209
Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:210-227
Probably Correct Optimal Stable Matching under Two-Sided Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:228-254
Robust Transfer Learning With Side Information
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:255-286
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:287-327
Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:328-363
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:364-412
Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:413-447
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:448-468
Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:469-490
Bound to Disagree: Generalization Bounds via Certifiable Surrogates
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:491-520
Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:521-548
Testing Partially-Identifiable Causal Queries Using Ternary Tests
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:549-566
Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:567-584
Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:585-619
Characterising the Convergence of Imprecise Markov Chains
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:620-639
Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:640-657
Pareto-Optimal Probabilistic Explanations: Balancing Cognitive Constraints and User Preferences
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:658-688
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:689-744
Bayesian Symbolic Regression with Entropic Reinforcement Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:745-764
Task Expansion and Cross Refinement for Open-World Conditional Modeling
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:765-784
Causal Discovery with Metadata-Informed Latent Types
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:785-818
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:819-838
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:839-879
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:880-899
Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:900-942
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:943-960
Neural Routed Boosting: Robust Learning against Heteroscedastic Noise
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:961-980
Group-Fair Allocations of Contiguous Blocks of Indivisible Items
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:981-1002
Robust Constrained Markov Games: Multi-Agent Decision-Making under Model Uncertainty and Constraints
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1003-1033
Inference for quantile-parametrized families via CDF confidence bands
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1034-1053
Linear Regression with Heteroskedastic Errors
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1054-1080
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1081-1104
Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1105-1153
Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1154-1180
On the Granularity of Causal Effect Identifiability
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1181-1199
On the Sublinear Regret of Continuous K-Max Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1200-1229
Hyperbolic Belief Propagation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1230-1248
Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1249-1270
Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1271-1301
Canonical Domain Reduction for Partial Counterfactual Identification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1302-1326
Which Directions Matter? Sparse Design for Affine Robust Optimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1327-1356
Ensemble Diversity Optimization for Subjective Supervision
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1357-1377
Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1378-1422
Sparse Action-Dependent Policy Iteration under Coordination Structures: Convergence and Optimality
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1423-1447
Neural Diffusion Intensity Models for Point Process Data
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1448-1473
One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1474-1497
How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1498-1519
Poisson–Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1520-1539
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1540-1573
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1574-1584
Explainable Clustering of Mixture Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1585-1603
Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1604-1627
Perfect Matching Map Recovery Under Unknown Scalar Affine Transformation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1628-1649
Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1650-1662
Conformal Online Model Aggregation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1663-1683
Implicit Learning for Reasoning in First-Order Probabilistic Logic
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1684-1694
Fast Best-in-Class Regret for Contextual Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1695-1724
Quantification of Credal Uncertainty: A Distance-Based Approach
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1725-1747
Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1748-1768
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1769-1789
Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1790-1803
The Price of Valid Inference After Causal Discovery
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1804-1822
Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1823-1856
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1857-1881
Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1882-1912
A Probabilistic Circuit Framework for Interpretable Graph PU Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1913-1930
Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1931-1946
Provable Subspace Identification of Nonlinear Multi-view CCA
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1947-1982
Robust Bayesian Decision Making under Adversarial Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:1983-2007
Should You Use Your Large Language Model to Explore or Exploit?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2008-2058
Learning Bayesian and Markov Networks with an Unreliable Oracle
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2059-2074
Learning Max-Stable Representations that Extrapolate
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2075-2084
Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2085-2118
Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2119-2136
EpiRDN: A Learnable Anisotropic Reaction-Diffusion Network for Epidemic Time Series Prediction
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2137-2151
Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2152-2178
From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2179-2195
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2196-2222
From Global to Factor-Wise Expert Composition in Discrete Diffusion Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2223-2243
Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2244-2273
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2274-2313
Probabilistic Edge Modulation for High-Dimensional Causal Discovery
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2314-2335
Achieving Alignment Through Adaptive Play: Helping Optimize Objectives Without Observing Them
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2336-2377
Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2378-2441
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2442-2460
Optimal Conformal Prediction under Epistemic Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2461-2479
Calibration-Aware Online Adaptation under Label Shift
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2480-2516
Score-Based Diffusion Priors for Adaptive Conformal Inference under Distribution Shift
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2517-2537
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2538-2594
PRISM: Calibrated Bayesian Fusion and Auditable Attribution for Reliable LLM Event Prediction from Text
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2595-2617
Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2618-2660
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2661-2687
Conditional Diffusion Models for Imbalanced Tabular Regression
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2688-2712
COBALT: Censored Optimization and Bayesian Active Learning Techniques
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2713-2743
Likelihood hacking in probabilistic program synthesis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2744-2791
General Bayesian Policy Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2792-2827
Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2828-2876
Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2877-2893
Adaptive Cumulative Mass Calibration with Conformal Prediction
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2894-2916
Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2917-2933
Capacity and Redundancy Trade-offs in Multi-Task Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2934-2957
Don’t Test What You Can Deduce: Causal Discovery with Logical Inference
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2958-2993
Beyond Bounds: Quantifying the Probability of Counterfactual Fairness
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:2994-3011
A Model-Free Universal AI
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3012-3035
Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3036-3060
On Causal Representation Learning with Internal Auxiliaries
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3061-3082
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3083-3100
Same Benchmark, Same Subspace: Task-Selective Convergence in LLM Representations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3101-3116
Maximally Robust Satisficing Bayesian Optimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3117-3142
Controlling Uncertainty and Hallucination Risk in Multi-Agent Fact Verification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3143-3161
Who to Trust? Aggregating Client Predictions in Federated Distillation.
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3162-3181
Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3182-3223
Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3224-3236
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3237-3261
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3262-3273
Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3274-3297
Efficient Confidence Set Enumeration for Multi-label Conformal Classification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3298-3322
Provably Correct $k$-Means Clustering of Persistence Diagrams
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3323-3337
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3338-3354
Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3355-3375
Interpretable Spatial-Temporal Forecasting via Additive Neural Decomposition and Knowledge Distillation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3376-3397
FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3398-3428
Preserving Compositionality for Robust Multi-Subject Personalization in Text-to-Image Generation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3429-3452
Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3453-3476
Counting and Sampling Subsets Using Block Covers
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3477-3486
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3487-3545
Computational Complexity of Repair Problems on Simple Temporal Networks with Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3546-3555
Differentially Private Approval-Based Committee Voting
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3556-3580
Nonlinear Axiomatic Attribution for Cooperative Games
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3581-3603
Matched-Pair Experimental Design with Active Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3604-3630
Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3631-3667
Online Fair Allocation with Demand-Side Time-Dependent Weight
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3668-3684
A Sequence-Graph Fusion Framework via BiMamba and Fourier-KAN for Interpretable Drug-Target Affinity Prediction
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3685-3704
CAIC: Congestion-Aware Intent Communication for Multi-Agent Reinforcement Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3705-3718
Label-Wise uncertainty decomposition for Multi-label Classification by Maximizing Type II Likelihood
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3719-3737
Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3738-3761
Exploiting Concavity Information in Contextual Bandit Optimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3762-3784
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3785-3801
HHC: Hierarchical Hypergraph Communication for Multi-Agent Systems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3802-3818
Grokked Models are Better Unlearners
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3819-3840
Overcoming Dependent Censoring in the Evaluation of Survival Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3841-3866
Gradient-Guided Reward Optimization for Inference-time Alignment
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3867-3887
Constrained Random Forest for Domain-Generalizable Classification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3888-3921
EagleConv: Bio-inspired Dual-Foveated Convolution for Robust Small Object Detection
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3922-3932
LENS: Latent Precision Inference in Multi-LLM Routing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3933-3956
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3957-3978
When Can We Learn from Noisy Logical Data? Parameterized Complexity of Approximate Concept Fitting in Description Logics
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3979-3998
Conformal Prediction Sets for Instance Segmentation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:3999-4026
Computing Exact Nash Equilibria in Graphical Games: A Geometric Approach to Paths, Stars, and Caterpillars
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4027-4066
The relative value of interventional and observational samples in Bayesian Causal Linear Gaussian Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4067-4099
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4100-4155
Learning Expressive Random Feature Models via Parametrized Activations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4156-4204
Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4205-4231
Approximating Nash Equilibria in Finite-Horizon Multi-Adversarial Team Markov Games
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4232-4251
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4252-4271
Learning plug-in surrogate endpoints for randomized experiments
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4272-4298
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4299-4322
cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4323-4352
AudiFair: Privacy-Preserving Framework for Auditing Fairness
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4353-4380
Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4381-4426
Meta-Dependence in Conditional Independence Testing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4427-4440
Relaxing Faithfulness with Intervention-Only Causal Discovery
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4441-4456
Causal Discovery in Mixtures of Populations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4457-4478
Conformal Graph Prediction with Z-Gromov Wasserstein Distances
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4479-4496
Exact Uncertainty Propagation via Gaussian Process Neurons
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4497-4513
Globally Optimal Multi-Object Tracking with Splitting and Merging
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4514-4527
Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4528-4542
Long term sequential decision making under risk
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4543-4560
Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4561-4594
Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4595-4606
Causal Reasoning with Bipartite Graphical Causal Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4607-4633
Learning to Infer Fast by Attending to Sparse Temporal Observations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4634-4660
Model Agnostic Graph Prompt Learning for Crystal Property Prediction
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4661-4683
Online Bootstrap Inference for the Trend of Nonstationary Time Series
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4684-4711
IDCR: Information-Directed Conformal Retrieval
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4712-4732
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4733-4772
What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4773-4795
Adaptive and Robust Watermark for Generative Tabular Data
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4796-4831
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4832-4854
Tight rates of approximation of mixed Nash equilibria by entropy regularization in continuous games
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4855-4872
When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4873-4889
MUSS: Multilevel Subset Selection for Relevance and Diversity
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4890-4913
Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4914-4948
Scaling Up Bayesian DAG Sampling
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4949-4971
Conformal Risk Minimization with Variance Reduction
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:4972-5002
What Type of Inference is Active Inference?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5003-5039
Prior-Fitted Functional Flows: In-Context Generative Models for Pharmacokinetics
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5040-5059
MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5060-5080
Falsifying Causal Graphs With Outlier Events
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5081-5110
Partially Observed Structural Causal Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5111-5137
Coarsening Bias from Variable Discretization in Causal Functionals
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5138-5167
Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5168-5196
Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5197-5243
The Convergence Behavior of Adam under Heavy-Tailed Noise
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5244-5265
On Transportability for Structural Causal Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5266-5288
Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5289-5331
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5332-5355
Information Theoretic Bayesian Optimization over the Probability Simplex
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5356-5373
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5374-5392
Bayesian Experimental Design via Score Matching
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5393-5426
Semantic Self-Distillation for Language Model Uncertainty
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5427-5447
A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5448-5470
UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5471-5503
Distributional Deep Gaussian Processes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5504-5540
Transformer Based Bayesian Network Structure Learning from an Information Theory Perspective
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5541-5555
Reading As Humans: Unified Negation Detection via Cascade Linear Attention Network with Model-Agnostic Meta-Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5556-5572
Multi-Agent RL with Invisible Collaborators: Marginal Advantage Estimation for Indirect Cooperation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5573-5600
Beyond Mean-Field: Tree-Copula Variational Autoencoders for Structured Latent Dependencies
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5601-5622
Metacognitive Arbitration as Uncertainty Compression in Multi-Agent Language Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5623-5642
Variance Estimation and Selecting Good Estimands for Causal Effect Queries
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5643-5660
Structure Learning for Unfaithful Distributions: The Minimal Dependence Faithfulness
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5661-5676
Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5677-5699
Expert Advice with Costly Observations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5700-5715
Imprecise Probabilities for Privacy–Accuracy Trade-offs in Bayesian Networks
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5716-5730
Planning with Formal Reachability Guarantees in Goal-Oriented MDPs with Dead-Ends
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5731-5739
Constrained Weighted Bayesian Bootstrap
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5740-5763
Kernel Integrated $R^2$: A Measure of Dependence
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5764-5789
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5790-5844
Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5845-5865
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5866-5918
Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5919-5966
Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5967-5996
Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:5997-6025
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6026-6063
The Price of Knowledge: Optimal Algorithms for Costly Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6064-6090
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6091-6124
Birds of a Feather Reason Together: Gestalt Grouping Meets Neuro-Symbolic Inference
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6125-6148
The Art of Calling the Winner by Asking Just Enough Questions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6149-6164
Analytic Planning under Uncertainty with Moment Closure
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6165-6177
Improving TensorSketch Using Complex Random Variables
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6178-6203
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6204-6231
Valid and Efficient Uncertainty Quantification for Federated Joint Shift
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6232-6260
Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6261-6282
Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6283-6309
Collaborative Multi-view Learning from Crowds
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6310-6320
Conditional neural control variates for variance reduction in Bayesian inverse problems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6321-6341
A Stronger Calculus of Intervention for Max-Linear Bayesian Networks
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6342-6365
Particle GFlowNets: Rethinking Generative Marginalization Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6366-6383
The Minimal Search Space for Conditional Causal Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6384-6409
Learning-based Optimal Admission Control for Erlang-B Queuing Systems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6410-6444
Consensus Optimization Graph Neural Networks
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6445-6466
Adaptive Fourier Decomposition-guided Neural Operator Design for Inverse PDE Problems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6467-6491
Privacy-Preserving Robustness Verification for Neural Networks
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6492-6511
Multiwinner Voting with Interval Preferences under Incomplete Information
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6512-6536
Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6537-6553
Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6554-6575
Learning Who to Treat When Treatment is Missing
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6576-6609
Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6610-6630
Particle Dynamics for Latent-Variable Energy-Based Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6631-6644
Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6645-6676
Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6677-6700
EVIA: Entropic Variational Inference Auto-encoding
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6701-6717
On Pairwise Quantile Regression - Statistical Guarantees and Applications
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6718-6739
Benign Overfitting with Quantum Kernels
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6740-6766
Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6767-6806
Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6807-6850
Online Learning for Project Selection in Hedonic Project Games
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6851-6861
A Causal Markov Condition for Value
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6862-6884
Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6885-6899
APIC: Amortized Physics-Informed Calibration using Neural Processes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6900-6916
Structured Credal Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6917-6952
Markovian Compression: Looking to the Past Helps Accelerate the Future
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6953-6998
Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:6999-7022
Upper entropy for 2-monotone lower probabilities
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7023-7035
Learning Informative Attention Weights for Person Re-Identification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7036-7071
Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7072-7102
Recursive Fréchet Mean Estimation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7103-7120
From Moves to Paths: A Hierarchical Framework for Trajectory Representation Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7121-7136
On the Effect of Sampling Diversity in Scaling LLM Inference
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7137-7167
Bandit Learning for Online Scheduling with Immediate Decision
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7168-7199
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7200-7228
Stationary Robust Mean-Field Games under Model Mismatches
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7229-7272
Hierarchical Bayesian Quadrature
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7273-7289
Efficient Federated Conformal Prediction with Group-Conditional Guarantee
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7290-7313
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7314-7340
Single-Network Asymptotics for Causal Inference with Partial Network Data
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7341-7369
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7370-7386
Building a Bridge Between the Shapley Value, Prime Implicants and Counterfactual Explanations: a Theoretical Analysis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7387-7402
An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7403-7415
Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7416-7432
On the Convergence of Self-Improving Online LLM Alignment
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7433-7467
Concept Sketching for Description Logics
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7468-7483
DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7484-7503
Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7504-7535
ARGUS: Argumentation-Based Minimal-Change Repair for Verifiable LLM Self-Explanations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7536-7551
Improving online FDR procedures via online analogs of e-closure and compound e-values
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7552-7561
How Learning Dynamics Drive Adversarially Robust Generalization?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7562-7593
Kronecker-Structured Nonparametric Spatiotemporal Point Processes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7594-7612
Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning.
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7613-7650
Implicit Variational Rejection Sampling
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7651-7669
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7670-7700
Robust Decision-Focused Learning via Worst-Case Regret Minimization
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7701-7736
One-Shot Federated Learning based on Random Feature Extractor
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7737-7750
ReVAD: From Imitation to Reasoning in Vectorized Autonomous Driving via Latent Space Search
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7751-7760
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7761-7779
Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7780-7817
Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7818-7837
When Can Transformers Count to n?
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7838-7855
Estimating Interventional Outcomes over Time with Causal Normalizing Flow
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7856-7895
Neural Value Iteration
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7896-7912
MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7913-7927
Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7928-7951
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7952-7976
A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7977-7991
Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:7992-8005
ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8006-8025
Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8026-8070
Interpretable Causal Discovery via Causal-Effect Constraints
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8071-8089
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8090-8114
Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8115-8129
Instrumental and Proximal Causal Inference with Gaussian Processes
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8130-8165
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8166-8181
Efficient Decentralized Learning of Generalized Quantal Response Equilibrium
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8182-8208
SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8209-8237
Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8238-8252
Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8253-8269
Bandwidth Selection in Kernel Density Estimation for Model Calibration
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8270-8291
Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8292-8311
Approximating Probabilistic Inference in Statistical $\mathcalEL$ with Knowledge Graph Embeddings
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8312-8329
Revisiting TD Target Aggregation under Uncertainty in Q-Learning
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8330-8348
Towards Identifiability of Interventional Stochastic Differential Equations
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8349-8374
Learning Lineage-guided Geodesics with Finsler Geometry
; Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, PMLR 337:8375-8386
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