Iterative Refinement of Approximate Posterior for Training Directed Belief Networks

CoRR, Volume abs/1511.06382, 2015.

Cited by: 5|Bibtex|Views41
EI
Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

Recent advances in variational inference that make use of an inference or recognition network for training and evaluating deep directed graphical models have advanced well beyond traditional variational inference and Markov chain Monte Carlo methods. These techniques offer higher flexibility with simpler and faster inference; yet traini...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments