Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning.
Simon RittelSebastian TschiatschekPublished in: ECAI (2023)
Keyphrases
- structure learning
- bayesian networks
- directed acyclic graph
- conditional independence
- markov blanket
- causal models
- bayesian network structures
- graphical models
- posterior probability
- parameter learning
- causal relationships
- bayesian network classifiers
- probability distribution
- probabilistic model
- conditional probabilities
- probabilistic inference
- random variables
- prior knowledge
- belief networks
- causal discovery
- markov logic networks
- parameter estimation
- bayesian inference
- approximate inference
- maximum a posteriori
- decision trees
- maximum likelihood
- equivalence classes
- markov networks
- least squares
- prior information
- unsupervised learning