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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
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Papers

Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023
Sparse Bayesian optimization AISTATS 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023
Stochastic Tree Ensembles for Estimating Heterogeneous Effects AISTATS 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023
Transport Reversible Jump Proposals AISTATS 2023
Learning Treatment Effects from Observational and Experimental Data AISTATS 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Minimax-Bayes Reinforcement Learning AISTATS 2023
Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023
Interactive Segmentation As Gaussion Process Classification CVPR 2023
Spectral Bayesian Uncertainty for Image Super-Resolution CVPR 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
Reliable and Interpretable Personalized Federated Learning CVPR 2023
Probabilistic Debiasing of Scene Graphs CVPR 2023
Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023
Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023