Double Generative Adversarial Networks for Conditional Independence Testing.
Chengchun ShiTianlin XuWicher BergsmaLexin LiPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- structure learning
- learning bayesian networks
- probability distribution
- causal models
- directed acyclic graph
- probability theory
- bayesian network structure
- generative model
- possibility theory
- axiomatic characterization
- structure and parameter learning
- social networks
- network structure
- causal networks
- markov property
- causal independence
- statistical independence
- conditional independencies
- probabilistic model
- markov logic networks
- belief networks
- causal discovery
- chain graphs
- transfer learning
- conditional random fields