3 papers
stat.ML2026
PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory
Chenyang Wang, Yun Yang
We derive explicit non-asymptotic PAC-Bayes generalization bounds for Gibbs posteriors, that is, data-dependent distributions over model parameters obtained by exponentially tiltin…
stat.ME2024
Estimating the Number of Components in Finite Mixture Models via Variational Approximation
Chenyang Wang, Yun Yang
This work introduces a new method for selecting the number of components in finite mixture models (FMMs) using variational Bayes, inspired by the large-sample properties of the Evi…
stat.ME2023
Bayesian Model Selection via Mean-Field Variational Approximation
Yangfan Zhang, Yun Yang
This article considers Bayesian model selection via mean-field (MF) variational approximation. Towards this goal, we study the non-asymptotic properties of MF inference under the B…