Gehui Shen

Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge

Bayesian neural networks (BNNs) have received more and more attention because they are capable of modeling epistemic uncertainty which is hard for conventional neural networks. Markov chain Monte Carlo (MCMC) methods and variational inference (VI) are two mainstream methods for Bayesian deep learnin…