Testing Independence Between Linear Combinations for Causal Discovery.
Hao ZhangKun ZhangShuigeng ZhouJihong GuanJi ZhangPublished in: AAAI (2021)
Keyphrases
- linear combination
- causal discovery
- conditional independence
- causal models
- causal relationships
- basis functions
- small number
- bayesian networks
- discovery process
- causal structure
- directed acyclic graph
- low order
- sparse coding
- observational data
- random variables
- decision making
- finite element
- structure learning
- image patches