Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables.
Ehsan MokhtarianMohammadsadegh KhorasaniJalal EtesamiNegar KiyavashPublished in: AAAI (2023)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- bayesian network structures
- graphical models
- conditional independence
- hidden variables
- causal relationships
- bayesian network classifiers
- structure learning algorithm
- causal effects
- causal models
- markov logic networks
- causal relations
- dependency structure
- continuous variables
- observational data
- variable selection
- active learning
- machine learning
- parameter estimation
- random variables
- probabilistic model
- belief propagation