DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks.
Hristo PetkovColin HanleyFeng DongPublished in: CoRR (2022)
Keyphrases
- structure learning
- bayesian networks
- markov logic networks
- network structure
- directed acyclic graph
- bayesian network classifiers
- conditional independence
- markov blanket
- graphical models
- gene regulatory networks
- parameter learning
- bayesian network structure learning
- generative model
- transfer learning
- causal models
- social networks
- parameter estimation
- markov networks
- causal relationships
- probability distribution
- conditional independence tests
- approximate inference
- causal reasoning
- first order logic
- probabilistic reasoning
- probabilistic graphical models
- discriminative learning
- maximum likelihood
- conditional random fields
- belief networks
- image segmentation
- machine learning
- maximum likelihood estimation