Bayesian Inference

Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis COLT 2025 Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025 Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 Relational Neurosymbolic Markov Models AAAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Reliable Algorithm Selection for Machine Learning-Guided Design ICML 2025 Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning IJCAI 2025 Rényi Neural Processes ICML 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior ICLR 2025 Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces ICML 2025 Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control ICLR 2025 Revisiting Unbiased Implicit Variational Inference ICML 2025 Reward Generalization in RLHF: A Topological Perspective ACL 2025 RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations ACL 2025 Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck AAAI 2025 Robust Multi-view Co-expression Network Inference CLeaR 2025 Robust Simulation-Based Inference under Missing Data via Neural Processes ICLR 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models EMNLP 2025 SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes ICML 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025