Scaling exact inference for discrete probabilistic programs.
Steven HoltzenGuy Van den BroeckTodd D. MillsteinPublished in: Proc. ACM Program. Lang. (2020)
Keyphrases
- exact inference
- bayesian networks
- belief networks
- discrete variables
- graphical models
- approximate inference
- probabilistic model
- inference in bayesian networks
- probabilistic inference
- belief propagation
- continuous variables
- latent variables
- approximation algorithms
- structure learning
- posterior probability
- dynamic bayesian networks
- structured prediction
- conditional random fields
- conditional independence
- probability distribution
- multilayer perceptron
- neural network
- variational methods
- generative model