Rethinking Variational Inference for Probabilistic Programs with Stochastic Support.

Tim Reichelt Luke Ong Thomas Rainforth

Published in: NeurIPS (2022)

Keyphrases

variational inference
probabilistic model
bayesian inference
topic models
posterior probability
information theoretic
prior information
posterior distribution
markov networks
probabilistic graphical models