Causal Discovery with Flow-based Conditional Density Estimation.
Shaogang RenHaiyan YinMingming SunPing LiPublished in: ICDM (2021)
Keyphrases
- causal discovery
- conditional density estimation
- causal models
- causal relationships
- causal structure
- discovery process
- directed acyclic graph
- bayesian networks
- monte carlo
- conditional independence
- flow field
- databases
- dynamic programming
- data mining
- knowledge discovery
- computational complexity
- observational data
- machine learning
- density ratio