Compiling Discrete Probabilistic Programs for Vectorized Exact Inference.
Jingwen PanAmir ShaikhhaPublished in: CC (2023)
Keyphrases
- exact inference
- bayesian networks
- belief networks
- discrete variables
- graphical models
- approximate inference
- inference in bayesian networks
- probabilistic inference
- probabilistic model
- belief propagation
- structured prediction
- posterior probability
- probability distribution
- latent variables
- dynamic bayesian networks
- conditional probabilities
- approximation algorithms
- conditional random fields
- continuous variables
- neural network
- structure learning
- conditional independence
- gaussian process
- variational methods
- random variables
- hidden variables
- message passing