Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence

Joseph Paillard, Angel Reyero Lobo, Vitaliy Kolodyazhniy +2

Causal machine learning holds promise for estimating individual treatment effects from complex data. For successful real-world applications of machine learning methods, it is of pa…