Yishai Shimoni

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation

Modelling causal effects from observational data for deciding policy actions can benefit from being interpretable and transparent; both due to the high stakes involved and the inherent lack of ground truth labels to evaluate the accuracy of such models. To date, attempts at transparent causal effect…