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.
@article{arxiv.2011.04770,
title = {Deep Bayesian Nonparametric Factor Analysis},
author = {Arunesh Mittal and Paul Sajda and John Paisley},
journal= {arXiv preprint arXiv:2011.04770},
year = {2020}
}