Temperature Optimization for Bayesian Deep Learning

Kenyon Ng, Chris van der Heide, Liam Hodgkinson +1

The Cold Posterior Effect (CPE) is a phenomenon in Bayesian Deep Learning (BDL), where tempering the posterior to a cold temperature often improves the predictive performance of th…