Estimating Identifiable Causal Effects through Double Machine Learning.
Yonghan JungJin TianElias BareinboimPublished in: AAAI (2021)
Keyphrases
- causal effects
- machine learning
- structural equation models
- causal relations
- linear models
- causal relationships
- learning algorithm
- feature selection
- decision trees
- active learning
- natural language processing
- causal models
- learning tasks
- semi supervised learning
- text classification
- principal component analysis
- real world
- supervised learning
- information extraction
- knowledge discovery
- data analysis
- data mining