Bayesian Inference

Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning with Confidence UAI 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025 Measuring IIA Violations in Similarity Choices with Bayesian Models UAI 2025 Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025 Nonparametric Bayesian inference of item-level features in classifier combination UAI 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025 Paths and Ambient Spaces in Neural Loss Landscapes AISTATS 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Poisoning Bayesian Inference via Data Deletion and Replication AISTATS 2025 Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation ICLR 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Posterior Mean Matching: Generative Modeling through Online Bayesian Inference AISTATS 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Proximal Interacting Particle Langevin Algorithms UAI 2025 REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025 Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025