Approximate Slice Sampling for Bayesian Posterior Inference

Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth

Abstract: In this paper, we advance the theory of large scale Bayesian posterior inference by introducing a new approximate slice sampler that uses only small mini-batches of data in every iteration. While t...