Double Machine Learning and Automated Confounder Selection

Double machine learning (DML) is becoming an increasingly popular tool for automatic model selection in high-dimensional settings. Paul Hünermund discusses that DML is very sensitive to the inclusion of even a few “bad controls” in the covariate space.

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Image courtesy of interviewee

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