GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences.
Mucong DingConstantinos DaskalakisSoheil FeiziPublished in: AISTATS (2021)
Keyphrases
- conditional independence
- probability distribution
- probability theory
- chain graphs
- bayesian networks
- random variables
- markov property
- graphical models
- learning bayesian networks
- independence relations
- directed acyclic graph
- structure learning
- possibility theory
- conditional probabilities
- statistical independence
- posterior probability
- causal models
- axiomatic characterization
- bayesian network structure
- structure and parameter learning
- structural learning
- causal discovery
- markov blanket
- marginal distributions
- conditional independencies
- directed graph
- posterior distribution
- graph structure