Spyridon Samothrakis

The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation

Abstract 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 for this task. All of these methods, as with any ML approach, require extensive hyperparame...