Orthogonal Random Forest for Causal Inference.
Miruna OprescuVasilis SyrgkanisZhiwei Steven WuPublished in: ICML (2019)
Keyphrases
- random forest
- causal inference
- random forests
- causal models
- additive noise
- decision trees
- abductive reasoning
- discrete data
- rare events
- multi label
- ensemble methods
- nonmonotonic reasoning
- ensemble learning
- image processing
- feature set
- observational data
- machine learning
- base classifiers
- multi class
- knowledge discovery
- data mining