Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions.
Lutz KlinkenbergChristian BlumenthalMingshuai ChenDarion HaaseJoost-Pieter KatoenPublished in: Proc. ACM Program. Lang. (2024)
Keyphrases
- bayesian inference
- probabilistic model
- hierarchical bayesian
- graphical models
- inference process
- probabilistic modeling
- prior information
- hyperparameters
- generative model
- bayesian model
- statistical inference
- bayesian models
- variational bayes
- probabilistic inference
- hidden variables
- belief propagation
- bayesian networks
- markov networks
- gibbs sampler
- conditional random fields
- particle filter
- variational inference
- weighted model counting
- latent variables
- prior probabilities
- loopy belief propagation
- markov chain monte carlo
- mixture model
- semi supervised
- reinforcement learning
- feature selection
- variational approximation
- data sets