Active Structure Learning of Causal DAGs via Directed Clique Tree.
Chandler SquiresSara MagliacaneKristjan H. GreenewaldDmitriy KatzMurat KocaogluKarthikeyan ShanmugamPublished in: CoRR (2020)
Keyphrases
- structure learning
- bayesian networks
- clique tree
- probabilistic inference
- graphical models
- directed acyclic graph
- conditional independence
- markov blanket
- parameter learning
- belief networks
- random variables
- approximate inference
- markov logic networks
- dynamic bayesian networks
- conditional probabilities
- probability distribution
- probabilistic model
- posterior probability
- causal models
- reinforcement learning
- exact inference
- hidden variables
- special case
- markov networks
- importance sampling
- incomplete data
- directed graph
- belief propagation