Bayesian & Probabilistic

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Approximating the total variation distance between spin systems COLT 2025 A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction UAI 2025 A Quantum Information Theoretic Approach to Tractable Probabilistic Models UAI 2025 Are explicit belief representations necessary? A comparison between Large Language Models and Bayesian probabilistic models NAACL 2025 Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025 Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget UAI 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 A Trust-Region Method for Graphical Stein Variational Inference UAI 2025 A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025 AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling ICML 2025 Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025 A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025 BARNN: A Bayesian Autoregressive and Recurrent Neural Network ICML 2025 Batch, match, and patch: low-rank approximations for score-based variational inference AISTATS 2025 Bayes correlated equilibria, no-regret dynamics in Bayesian games, and the price of anarchy COLT 2025 Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability AISTATS 2025 Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior ICLR 2025 Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Interspeech 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Bayesian Persuasion with Externalities: Exploiting Agent Types AAAI 2025