Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach.
Fabian ZaiserAndrzej S. MurawskiChih-Hao Luke OngPublished in: NeurIPS (2023)
Keyphrases
- bayesian inference
- probabilistic model
- probabilistic modeling
- gibbs sampler
- bayesian models
- hidden variables
- hierarchical bayesian
- statistical models
- statistical inference
- generative model
- prior information
- variational inference
- bayesian networks
- probability functions
- posterior probability
- graphical models
- hyperparameters
- bayesian model
- prior distribution
- inference process
- variational bayes
- programming language
- markov networks
- prior probabilities
- conditional probabilities
- prior knowledge
- reinforcement learning