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most citedFisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

11 citations · 15 across the 7 of their papers we have counts for

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stat.ML2017★ 11 cited

Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Victor Chernozhukov, Mert Demirer, Esther Duflo +1

We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments. These key features include best linear predictors of the ef…