Quantifying the probable approximation error of probabilistic inference programs.

Marco F. Cusumano-Towner Vikash K. Mansinghka

Published in: CoRR (2016)

Keyphrases

probabilistic inference
approximation error
graphical models
bayesian networks
message passing
belief networks
weighted model counting
conditional probabilities
belief propagation
data sets
estimation error
reconstruction error
objective function
post processing