Invariant Structure Learning for Better Generalization and Causal Explainability.
Yunhao GeSercan Ö. ArikJinsung YoonAo XuLaurent IttiTomas PfisterPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- parameter learning
- parameter estimation
- bayesian network classifiers
- causal relationships
- causal models
- bayesian network structure learning
- random variables
- transfer learning
- markov logic networks
- belief propagation
- markov networks
- network structure
- sample size
- causal discovery
- probability distribution
- probabilistic model
- causal reasoning
- posterior probability
- conditional independence tests
- directed acyclic graph
- maximum likelihood estimation
- social networks
- least squares
- clustering algorithm