Deep Bayesian Nonparametric Factor Analysis

Published 9 Nov 2020 in stat.ML and cs.LG | (2011.04770v1)

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.

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