The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation

Damian Machlanski, Spyridon Samothrakis, Paul Clarke

ML is playing an increasingly crucial role in estimating causal effects of treatments on outcomes from observational data. Many ML methods (`causal estimators') have been proposed…