Symbolic Exact Inference for Discrete Probabilistic Programs.
Steven HoltzenTodd D. MillsteinGuy Van den BroeckPublished in: CoRR (2019)
Keyphrases
- exact inference
- bayesian networks
- belief networks
- discrete variables
- graphical models
- approximate inference
- probabilistic inference
- probabilistic model
- inference in bayesian networks
- conditional probabilities
- belief propagation
- structured prediction
- dynamic bayesian networks
- posterior probability
- parameter estimation
- latent variables
- conditional random fields
- approximation algorithms
- probability distribution
- conditional independence
- random variables
- generative model
- structure learning
- continuous variables
- learning algorithm
- feature space
- lower bound
- prior knowledge
- gaussian process
- message passing
- machine learning