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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024
pgmpy: A Python Toolkit for Bayesian Networks JMLR 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024
Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
Towards safe multi-task Bayesian optimization L4DC 2024
Bayesian Semi-structured Subspace Inference AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024
Neural Bayes estimators for censored inference with peaks-over-threshold models JMLR 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024
Random measure priors in Bayesian recovery from sketches JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Thompson Sampling Itself is Differentially Private AISTATS 2024