bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025

Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025

Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025

Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025

How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025

Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025

How To Make Your Cell Tracker Say "I dunno!" ICCV 2025

Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration ICCV 2025

Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025

Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025

Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025

Surprise Calibration for Better In-Context Learning EMNLP 2025

Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025

On Consistent Bayesian Inference from Synthetic Data JMLR 2025

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025

Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025

A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025

Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025

Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025

Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025

CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025

Relational Neurosymbolic Markov Models AAAI 2025

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models ACL 2025

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025

Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy AAAI 2025