Comment: Variational autoencoders as empirical Bayes

DOI10.1214/19-STS710zbMath1420.62031OpenAlexW2964259006MaRDI QIDQ2325632

Andrew C. Miller, David M. Blei, Yixin Wang

Publication date: 27 September 2019

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ss/1563501638

zbMATH Keywords

empirical Bayesmachine learningvariational autoencoder

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Learning and adaptive systems in artificial intelligence (68T05) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

• An introduction to variational methods for graphical models
• Bayes, oracle Bayes and empirical Bayes
• General maximum likelihood empirical Bayes estimation of normal means
• Tweedie’s Formula and Selection Bias
• Graphical Models, Exponential Families, and Variational Inference
• Frequentist Consistency of Variational Bayes