arXiv
Open Access
2020
Deep Bayesian Nonparametric Factor Analysis
Arunesh Mittal
Paul Sajda
John Paisley
Abstrak
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.
Penulis (3)
A
Arunesh Mittal
P
Paul Sajda
J
John Paisley
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
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- arXiv
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