Exact Bayesian Inference for Loopy Probabilistic Programs.
Lutz KlinkenbergChristian BlumenthalMingshuai ChenJoost-Pieter KatoenPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- graphical models
- hierarchical bayesian
- inference process
- probabilistic modeling
- generative model
- hyperparameters
- variational inference
- belief propagation
- bayesian model
- prior information
- hidden variables
- variational bayes
- bayesian networks
- weighted model counting
- probabilistic inference
- random variables
- statistical inference
- latent variables
- prior distribution
- posterior probability
- gibbs sampler
- markov networks
- mixture model
- bayesian models
- conditional probabilities
- topic models
- approximate inference
- conditional random fields
- particle filter
- variational approximation
- probabilistic logic programs