The true cost of stochastic gradient Langevin dynamics

Abstract

The problem of posterior inference is central to Bayesian statistics and a wealth of Markov Chain Monte Carlo (MCMC) methods have been proposed to obtain asymptotically correct samples from the posterior. As datasets in applications grow larger and larger, scalability …

Type
Publication
arXiv preprint arXiv