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Bayesian Learning

1663 directly classified papers

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Papers

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025
Random measure priors in Bayesian recovery from sketches JMLR 2024
Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024
On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Score Operator Newton transport AISTATS 2024
Thompson Sampling Itself is Differentially Private AISTATS 2024
Value-Distributional Model-Based Reinforcement Learning JMLR 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024
Bayesian Semi-structured Subspace Inference AISTATS 2024
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024