Vitaliy Kolodyazhniy

Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence

Causal machine learning (ML) promises to provide powerful tools for estimating individual treatment effects. While causal methods have placed some emphasis on heterogeneity in treatment response, it is of paramount importance to clarify the nature of this heterogeneity, by highlighting which variab…