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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.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…

stat.ML2018★ 16 cited

Transfer Learning for Estimating Causal Effects using Neural Networks

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri +3

We develop new algorithms for estimating heterogeneous treatment effects, combining recent developments in transfer learning for neural networks with insights from the causal infer…