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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023
Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023
PInKS: Preconditioned Commonsense Inference with Minimal Supervision IJCNLP 2022
Knowledge transfer for learning subject-specific causal models PGM 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022
Deep Hierarchy in Bandits ICML 2022
Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022