Conditional Independence Testing using Generative Adversarial Networks.
Alexis BellotMihaela van der SchaarPublished in: NeurIPS (2019)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- learning bayesian networks
- graphical models
- structure learning
- directed acyclic graph
- probability distribution
- possibility theory
- structure and parameter learning
- generative model
- bayesian network structure
- causal models
- social networks
- axiomatic characterization
- conditional independencies
- causal discovery
- markov property
- causal independence
- statistical independence
- chain graphs
- network structure
- fuzzy logic
- probabilistic networks
- neural network