#asymptotic

Research

Asymptotic properties for Bayesian neural network in Besov space
Dec 1st 2022
Advances in Neural Information Processing Systems

We have been studying the theoretical properties of Bayesian neural network (BNN) models and their applications.

proceedings.neurips.cc
Scalable and optimal Bayesian inference for sparse covariance matrices via screened beta-mixture prior.

We propose a scalable Bayesian method for sparse covariance matrix estimation by incorporating a continuous shrinkage prior with a screening procedure.

arxiv.org