Deep Bayesian Nonparametric Factor Analysis

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.

References in corpus (1)

• Nonparametric Bayesian sparse factor models with application to gene expression modeling