Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules.
Michael Lingzhi LiKosuke ImaiPublished in: CoRR (2024)
Keyphrases
- experimental evaluation
- machine learning
- causal models
- pattern recognition
- machine learning methods
- logical rules
- decision trees
- data mining
- causal links
- explanation based learning
- learning classifier systems
- association rule mining
- bayesian networks
- learning process
- machine learning approaches
- classification rules
- decision rules
- feature selection
- machine learning algorithms
- rule sets
- natural language
- domain experts
- text classification
- case based reasoning
- information extraction
- support vector machine
- knowledge representation
- learning algorithm
- active learning
- causal networks
- causal inference
- neural network
- causal reasoning
- rule learning
- artificial intelligence
- rule induction algorithm
- causal relationships
- expert systems
- inductive learning
- partial order
- learning problems
- statistical methods
- attribute values
- background knowledge
- computer science
- learning systems
- natural language processing
- supervised learning
- data analysis
- domain knowledge
- association rules