1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
On the optimization and pruning for Bayesian deep learning
Xiongwen Ke, Yanan Fan
The goal of Bayesian deep learning is to provide uncertainty quantification via the posterior distribution. However, exact inference over the weight space is computationally intrac…
stat.ME2021
Bayesian regression
Xiongwen Ke, Yanan Fan
It is well known that Bridge regression enjoys superior theoretical properties when compared to traditional LASSO. However, the current latent variable representation of its Bayesi…