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.

Read the Study

Image courtesy of interviewee. April 20, 2022

Log-in or Sign-up to Faculti
Currently viewing this subject insight as a guest. You have insight(s) remaining for this month.

Leave a Reply

Your email address will not be published. Required fields are marked *

Copyright © Faculti Media Limited 2013 - 2024. All rights reserved.
error: