Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network.
Tristan DeleuMizu Nishikawa-ToomeyJithendaraa SubramanianNikolay MalkinLaurent CharlinYoshua BengioPublished in: NeurIPS (2023)
Keyphrases
- bayesian inference
- graphical structure
- conditional likelihood
- hyperparameters
- markov networks
- probabilistic model
- prior information
- graphical models
- hidden variables
- generative model
- random variables
- sensitivity analysis
- bayesian belief networks
- maximum flow
- probabilistic networks
- probabilistic graphical models
- flow network
- expectation maximization
- markov random field
- prior knowledge
- parameter space
- regression model
- parameter estimation
- particle filter
- state space
- bregman divergences
- dynamic programming
- objective function
- reinforcement learning