Invariant Structure Learning for Better Generalization and Causal Explainability.
Yunhao GeSercan Ö. ArikJinsung YoonAo XuLaurent IttiTomas PfisterPublished in: CoRR (2022)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- parameter learning
- conditional independence
- parameter estimation
- markov logic networks
- conditional independence tests
- causal relationships
- bayesian network structure learning
- bayesian network classifiers
- probabilistic model
- markov networks
- network structure
- transfer learning
- probability distribution
- causal models
- posterior probability
- random variables
- probabilistic reasoning
- causal discovery
- conditional probabilities
- maximum likelihood
- sample size
- least squares