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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection PGM 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022
Robust Neural Posterior Estimation and Statistical Model Criticism NIPS 2022
Learning from Stochastically Revealed Preference NIPS 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NIPS 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NIPS 2022
A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022
Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022
Bezier Gaussian Processes for Tall and Wide Data NIPS 2022
ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons ACL 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
Perfect Sampling from Pairwise Comparisons NIPS 2022
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control COLT 2022
Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies NIPS 2022
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022