Double Machine Learning and Automated Confounder Selection

Paul Hünermund (Performer)

Research output: Non-textual formSound/Visual production (digital)Communication


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.
Original languageEnglish
Publication date20 Apr 2022
Place of PublicationLondon
Media of outputVideo
Publication statusPublished - 20 Apr 2022

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