Decision-Making with Auto-Encoding Variational Bayes.

Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier

Published in: CoRR (2020)

Keyphrases

variational bayes
bayesian inference
latent variables
bayesian learning
hyperparameters
gaussian mixture model
posterior distribution
exponential family
free energy
latent dirichlet allocation
model selection
log likelihood
random variables
random sampling
knowledge discovery