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20142019
most citedMeta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

1.1k citations · 1.1k across the 4 of their papers we have counts for

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stat.ME2019

Linear Aggregation in Tree-based Estimators

Sören R. Künzel, Theo F. Saarinen, Edward W. Liu +1

Regression trees and their ensemble methods are popular methods for nonparametric regression: they combine strong predictive performance with interpretable estimators. To improve t…

stat.ME2018

Causaltoolbox---Estimator Stability for Heterogeneous Treatment Effects

Sören R. Künzel, Simon J. S. Walter, Jasjeet S. Sekhon

Estimating heterogeneous treatment effects has become increasingly important in many fields and life and death decisions are now based on these estimates: for example, selecting a…