SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks.
Jacobie MoutonSteve KroonPublished in: CoRR (2022)
Keyphrases
- bayesian networks
- inference in bayesian networks
- probabilistic inference
- probabilistic reasoning
- multiply sectioned bayesian networks
- exact inference
- bayesian network inference
- graphical models
- evidential reasoning
- junction tree
- parameter learning
- worst case
- structure learning
- variable elimination
- learning bayesian networks
- probabilistic modeling
- probabilistic model
- dynamic bayesian networks
- hidden variables
- search tree
- conditional independence
- bayesian network classifiers
- conditional probabilities
- random variables
- naive bayes
- probability distribution
- continuous variables
- block size
- approximate inference
- incomplete data
- expert knowledge
- probabilistic knowledge
- conditional probability tables
- credal networks