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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
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NIPS 2022
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022
Perfect Sampling from Pairwise Comparisons NIPS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NIPS 2022
Active Bayesian Causal Inference NIPS 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022
Thompson Sampling with a Mixture Prior AISTATS 2022
Robust Neural Posterior Estimation and Statistical Model Criticism NIPS 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Streaming Inference for Infinite Feature Models ICML 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
The Infinite Contextual Graph Markov Model ICML 2022
Robust Bayesian Regression via Hard Thresholding NIPS 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies NIPS 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NIPS 2022
On the inability of Gaussian process regression to optimally learn compositional functions NIPS 2022
Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022
Byzantine-tolerant federated Gaussian process regression for streaming data NIPS 2022
Independence Testing for Bounded Degree Bayesian Networks NIPS 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022