Deep Bayesian Nonparametric Factor Analysis

Arunesh Mittal, Paul Sajda, John W. Paisley

Abstract: We propose a deep generative factor analysis model with beta process prior that can approximate complex non-factorial distributions over the latent codes. We outline a stochastic EM algorithm for scalable inference in a specific instantiation of this model and present some preliminary results.