Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning.
Yonghan JungJin TianElias BareinboimPublished in: ICML (2021)
Keyphrases
- equivalence class
- directed acyclic graph
- causal effects
- structural equation models
- observational data
- machine learning
- equivalence classes
- causal models
- causal relations
- conditional independence
- markov equivalence classes
- transitive closure
- directed graph
- data mining
- natural language processing
- equivalence relation
- linear models
- pattern recognition
- data analysis
- data sets
- decision trees
- causal discovery
- causal relationships
- knowledge discovery
- random variables
- probabilistic model
- reinforcement learning
- feature selection
- supervised learning