Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables.
Ehsan MokhtarianMohammadsadegh KhorasaniJalal EtesamiNegar KiyavashPublished in: CoRR (2022)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- bayesian network structures
- conditional independence
- hidden variables
- continuous variables
- probabilistic model
- markov logic networks
- causal models
- causal relationships
- structure learning algorithm
- machine learning
- causal relations
- parameter learning
- directed acyclic graph
- network structure
- transfer learning
- random variables
- causal effects
- parameter estimation
- decision trees