Undersmoothing Causal Estimators with Generative Trees
Average causal effects are averages of (heterogeneous) individual treatment effects (ITEs)
taken over the entire target population. The estimation of average causal effects has been …
taken over the entire target population. The estimation of average causal effects has been …
Understanding hyperparameters in machine learning for causal estimation from observational data
D Machlanski - 2024 - repository.essex.ac.uk
Causal analysis is fundamental to science and decision-making. It unravels the structure of
the process underlying the data and estimates the effectiveness of interventions. Deriving …
the process underlying the data and estimates the effectiveness of interventions. Deriving …