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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023
Mixed-Effect Thompson Sampling AISTATS 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Divide-and-Conquer Fusion JMLR 2023
BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
Bayesian Estimation of Differential Privacy ICML 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
Privacy-Aware Rejection Sampling JMLR 2023
Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023
Posterior Contraction for Deep Gaussian Process Priors JMLR 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
Bayesian Design Principles for Frequentist Sequential Learning ICML 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023