Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues.

David Rohde Matt P. Wand

Published in: J. Mach. Learn. Res. (2016)

Keyphrases

variational bayes
free energy
semi parametric
bayesian inference
posterior distribution
gaussian mixture model
closed form
bayesian learning
feature selection
feature extraction
markov random field
regression model
latent variables
statistical inference