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Volume 286: Conference on Uncertainty in Artificial Intelligence, 21-25 July 2025, Rio Othon Palace, Rio de Janeiro, Brazil
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Editors: Silvia Chiappa, Sara Magliacane
Aggregating Data for Optimal Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1-30
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:31-44
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:45-63
CATE Estimation With Potential Outcome Imputation From Local Regression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:64-90
Conditional Average Treatment Effect Estimation Under Hidden Confounders
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:91-110
Sparse Structure Exploration and Re-optimization for Vision Transformer
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:111-131
Symbiotic Local Search for Small Decision Tree Policies in MDPs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:132-148
MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:149-171
Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:172-183
Evasion Attacks Against Bayesian Predictive Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:184-202
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:203-222
Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:223-237
Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:238-256
Can a Bayesian Oracle Prevent Harm from an Agent?
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:257-270
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:271-295
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:296-331
BELIEF - Bayesian Sign Entropy Regularization for LIME Framework
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:332-354
Multi-Cost-Bounded Reachability Analysis of POMDPs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:355-387
Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:388-397
Stein Variational Evolution Strategies
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:398-420
Causal Models for Growing Networks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:421-442
Epistemic Uncertainty in Conformal Scores: A Unified Approach
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:443-470
Creative Agents: Empowering Agents with Imagination for Creative Tasks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:471-496
Fast Non-convex Matrix Sensing with Optimal Sample Complexity
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:497-520
Out-of-distribution Robust Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:521-539
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:540-567
Improving Graph Contrastive Learning with Community Structure
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:568-585
Just Trial Once: Ongoing Causal Validation of Machine Learning Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:586-611
Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:612-646
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:647-672
NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:673-704
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:705-736
Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:737-751
Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:752-776
Optimal Transport for Probabilistic Circuits
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:777-797
Building Conformal Prediction Intervals with Approximate Message Passing
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:798-820
RL, but don’t do anything I wouldn’t do
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:821-836
Measuring IIA Violations in Similarity Choices with Bayesian Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:837-862
The Relativity of Causal Knowledge
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:863-881
Online Learning with Stochastically Partitioning Experts
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:882-896
ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:897-914
Optimal Submanifold Structure in Log-linear Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:915-932
Calibrated Regression Against An Adversary Without Regret
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:933-958
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:959-980
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:981-1002
Nearly Optimal Differentially Private ReLU Regression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1003-1038
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1039-1063
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1064-1083
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1084-1111
Computationally Efficient Methods for Invariant Feature Selection with Sparsity
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1112-1120
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1121-1134
Learning Causal Response Representations through Direct Effect Analysis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1135-1166
Toward Universal Laws of Outlier Propagation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1167-1183
Mixup Regularization: A Probabilistic Perspective
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1184-1219
Proximal Interacting Particle Langevin Algorithms
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1220-1265
Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1266-1288
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1289-1336
Partial-Label Learning with Conformal Candidate Cleaning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1337-1357
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1358-1380
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1381-1452
Nonlinear Causal Discovery for Grouped Data
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1453-1475
Statistical Significance of Feature Importance Rankings
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1476-1496
Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1497-1520
Over the Top-1: Uncertainty-Aware Cross-Modal Retrieval with CLIP
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1521-1532
Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1533-1568
Guaranteed Prediction Sets for Functional Surrogate Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1569-1585
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1586-1599
Learning Algorithms for Multiple Instance Regression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1600-1615
Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text Classifiers
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1616-1625
Conformal Prediction without Nonconformity Scores
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1626-1639
Quantum Speedups for Bayesian Network Structure Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1640-1647
RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1648-1662
SPvR: Structured Pruning via Ranking
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1663-1676
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1677-1709
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1710-1729
Simulation-Free Differential Dynamics Through Neural Conservation Laws
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1730-1744
Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1745-1767
FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1768-1793
Root Cause Analysis of Failures from Partial Causal Structures
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1794-1818
Lower Bounds on the Size of Markov Equivalence Classes
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1819-1836
Generative Uncertainty in Diffusion Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1837-1858
Fast Calculation of Feature Contributions in Boosting Trees
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1859-1875
Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave Manipulation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1876-1894
Best Possible Q-Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1895-1908
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1909-1923
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1924-1964
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1965-1989
Adapting Prediction Sets to Distribution Shifts Without Labels
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:1990-2010
Moments of Causal Effects
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2011-2043
Decomposition of Probabilities of Causation with Two Mediators
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2044-2068
Explaining Negative Classifications of AI Models in Tumor Diagnosis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2069-2081
Enumerating Optimal Cost-Constrained Adjustment Sets
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2082-2100
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2101-2142
Efficiently Escaping Saddle Points for Policy Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2143-2162
Collaborative Prediction: To Join or To Disjoin Datasets
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2163-2201
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2202-2222
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2223-2254
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2255-2268
DF$^2$: Distribution-Free Decision-Focused Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2269-2290
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2291-2324
Robust Optimization with Diffusion Models for Green Security
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2325-2344
Probabilistic Explanations for Regression Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2345-2362
An Optimal Algorithm for Strongly Convex Min-Min Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2363-2379
Budget Allocation Exploiting Label Correlation between Instances
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2380-2395
Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2396-2430
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2431-2471
Adaptive Reward Design for Reinforcement Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2472-2485
Constraint-based Causal Discovery from a Collection of Conditioning Sets
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2486-2516
Trading Off Voting Axioms for Privacy
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2517-2536
Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2537-2551
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2552-2581
Flat Posterior Does Matter For Bayesian Model Averaging
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2582-2617
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2618-2641
CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2642-2658
Multi-group Uncertainty Quantification for Long-form Text Generation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2659-2684
DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2685-2700
Letting Uncertainty Guide Your Multimodal Machine Translation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2701-2710
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2711-2747
Periodical Moving Average Accelerates Gradient Accumulation for Post-Training
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2748-2768
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2769-2785
Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2786-2803
Federated Rényi Fair Inference in Federated Heterogeneous System
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2804-2843
Multi-armed Bandits with Missing Outcomes
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2844-2875
Weak to Strong Learning from Aggregate Labels
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2876-2891
SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2892-2905
Testing Generalizability in Causal Inference
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2906-2927
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2928-2957
Off-policy Predictive Control with Causal Sensitivity Analysis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2958-2972
Improved Variational Inference in Discrete VAEs using Error Correcting Codes
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:2973-3012
A Quantum Information Theoretic Approach to Tractable Probabilistic Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3013-3030
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3031-3047
SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3048-3092
When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3093-3122
Relational Causal Discovery with Latent Confounders
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3123-3154
Temperature Optimization for Bayesian Deep Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3155-3181
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3182-3199
Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3200-3220
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3221-3234
i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3235-3251
Discriminative ordering through ensemble consensus
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3252-3271
Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3272-3299
Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3300-3321
An Information-theoretic Perspective of Hierarchical Clustering on Graphs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3322-3345
Concept Forgetting via Label Annealing
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3346-3360
Correlated Quantization for Faster Nonconvex Distributed Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3361-3387
Exploring Exploration in Bayesian Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3388-3415
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3416-3450
A Trust-Region Method for Graphical Stein Variational Inference
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3451-3464
Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3465-3479
Multi-Label Bayesian Active Learning with Inter-Label Relationships
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3480-3491
Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3492-3506
FeDCM: Federated Learning of Deep Causal Generative Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3507-3524
COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3525-3551
Learning with Confidence
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3552-3569
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3570-3586
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3587-3604
On Information-Theoretic Measures of Predictive Uncertainty
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3605-3640
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3641-3674
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3675-3700
Scaling Probabilistic Circuits via Data Partitioning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3701-3717
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3718-3748
Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3749-3765
Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3766-3786
Experimentation under Treatment Dependent Network Interference
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3787-3808
Learning Robust XGBoost Ensembles for Regression Tasks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3809-3825
Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3826-3845
Critical Influence of Overparameterization on Sharpness-aware Minimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3846-3877
The Causal Information Bottleneck and Optimal Causal Variable Abstractions
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3878-3897
Truthful Elicitation of Imprecise Forecasts
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3898-3919
Learning from Label Proportions and Covariate-shifted Instances
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3920-3938
Approximate Bayesian Inference via Bitstring Representations
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3939-3957
Proxy-informed Bayesian transfer learning with unknown sources
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3958-3978
Privacy-Preserving Neural Processes for Probabilistic User Modeling
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3979-3998
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:3999-4012
Pure and Strong Nash Equilibrium Computation in Compactly Representable Aggregate Games
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4013-4033
Nonparametric Bayesian inference of item-level features in classifier combination
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4034-4043
On Constant Regret for Low-Rank MDPs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4044-4079
Adaptive Human-Robot Collaboration using Type-Based IRL
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4080-4091
Transparent Trade-offs between Properties of Explanations
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4092-4112
FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4113-4131
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4132-4144
Metric Learning in an RKHS
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4145-4164
A Unified Data Representation Learning for Non-parametric Two-sample Testing
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4165-4184
Adversarial Training May Induce Deteriorating Distributions
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4185-4203
On Continuous Monitoring of Risk Violations under Unknown Shift
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4204-4226
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4227-4250
Optimal Transport Alignment of User Preferences from Ratings and Texts
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4251-4265
Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4266-4289
EERO: Early Exit with Reject Option for Efficient Classification with limited budget
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4290-4308
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4309-4328
Offline Changepoint Detection With Gaussian Processes
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4329-4348
Hindsight Merging: Diverse Data Generation with Language Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4349-4369
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4370-4394
Targeted Learning for Variable Importance
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4395-4410
Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4411-4442
A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4443-4457
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4458-4471
MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4472-4488
Informative Synthetic Data Generation for Thorax Disease Classification
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4489-4514
A Mirror Descent Perspective of Smoothed Sign Descent
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4515-4542
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4543-4564
Online Generalized Magician’s Problem with Multiple Workers
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4565-4596
Group-Agent Reinforcement Learning with Heterogeneous Agents
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4597-4617
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Short-Term Flight Trajectory Prediction
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4618-4635
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4636-4651
Learning Multi-interest Embedding with Dynamic Graph Cluster for Sequention Recommendation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4652-4662
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4663-4680
Dependent Randomized Rounding for Budget Constrained Experimental Design
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4681-4700
Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4701-4714
Best Arm Identification with Possibly Biased Offline Data
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4715-4730
MSCGrapher: Learning Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4731-4751
Flow-Based Delayed Hawkes Process
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4752-4774
$σ$-Maximal Ancestral Graphs
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4775-4805
How Likely Are Two Voting Rules Different?
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4806-4825
Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4826-4843
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4844-4871
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4872-4888
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4889-4919
Instance-Wise Monotonic Calibration by Constrained Transformation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4920-4932
Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4933-4942
Improving Adversarial Transferability via Decision Boundary Adaptation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4943-4958
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4959-4981
Residual Reweighted Conformal Prediction for Graph Neural Networks
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:4982-4999
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5000-5029
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5030-5057
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5058-5083
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5084-5098
Learning to Sample in Stochastic Optimization
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5099-5115
MSP-SR: Multi-Stage Probabilistic Generative Super Resolution with Scarce High-Resolution Data
; Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, PMLR 286:5116-5134
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