Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets Rui Luo

Neural Information Processing Systems 

In this paper, we present a new practical method for Bayesian learning that can rapidly draw representative samples from complex posterior distributions with multiple isolated modes in the presence of mini-batch noise.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found