Bayesian Inference

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026 ACE: Adapting sampling for Counterfactual Explanations L4DC 2026 AdaPrior: Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning CVPR 2026 Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026 Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026 Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 A Model of the Language Process ACL 2026 An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 Assumed Density Filtering and Smoothing with Neural Network Surrogate Models L4DC 2026 Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed COLT 2026 BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 Bayesian Causal Discovery Networks for Linear Mixed Data CLeaR 2026 Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026 Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026 Bayes-Optimal Fair Classification with Multiple Sensitive Features AAAI 2026 BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026 Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026 Best Arm Identification with Biased Contexts AAAI 2026 Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026 Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026 CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization CVPR 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026