Deep Bayesian Nonparametric Factor Analysis
Arunesh Mittal, Paul Sajda, John William Paisley · arXiv (Cornell University) · 2020
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.