Deep Bayesian Nonparametric Factor Analysis

Mittal, Arunesh, Sajda, Paul, Paisley, John

arXiv.org Machine Learning 

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.

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