Deep Bayesian Nonparametric Factor Analysis
Mittal, Arunesh, Sajda, Paul, Paisley, John
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.
Nov-9-2020
- Country:
- Asia > Middle East
- Jordan (0.04)
- North America > Canada
- Asia > Middle East
- Genre:
- Research Report (0.40)
- Technology: