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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Robust and Scalable Bayesian Online Changepoint Detection ICML 2023
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems INTERSPEECH 2023
Adversarial robustness of amortized Bayesian inference ICML 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023
Estimation of Counterfactual Interventions under Uncertainties ACML 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph JMLR 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023
Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023
Minimax-Bayes Reinforcement Learning AISTATS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023
Stochastic Tree Ensembles for Estimating Heterogeneous Effects AISTATS 2023
CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di) SEMEVAL 2023
Posterior Contraction for Deep Gaussian Process Priors JMLR 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NIPS 2023
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NIPS 2023
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets JMLR 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023