Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test.
Hao ZhangShuigeng ZhouChuanxu YanJihong GuanXin WangPublished in: AAAI (2019)
Keyphrases
- conditional independence
- bayesian networks
- causal discovery
- causal models
- bayes nets
- prior knowledge
- learning algorithm
- learning bayesian networks
- bayesian network structure
- graphical models
- directed acyclic graph
- reinforcement learning
- random variables
- parameter learning
- markov blanket
- conditional independence tests
- bayes net
- structure learning
- supervised learning
- active learning