Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation.
Lucile Ter-MinassianLiran SzlakEhud KaravaniChris C. HolmesYishai ShimoniPublished in: CoRR (2024)
Keyphrases
- accurate estimation
- data driven
- hierarchical structure
- decision trees
- hierarchical clustering
- databases
- website
- estimation accuracy
- variance reduction
- hierarchical classification
- hierarchical model
- robust estimation
- maximum likelihood estimation
- monte carlo simulation
- density estimation
- search algorithm
- reinforcement learning
- three dimensional
- genetic algorithm
- neural network