Double machine learning fits an adjustment model from a confounder set using correlation and so breaks down when offered variables that have good correlation just *because* they aren't suitable adjustment variables
#IWouldSimplyNotIncludeEndogenousVariables
#IWouldSimplyNotIncludeEndogenousVariables
Maybe you've missed the crushing, DAG-wielding critique. Of course, not by a star scholar... www.degruyterbrill.com/document/doi...
Double machine learning and automated confounder selection: A cautionary tale
Double machine learning (DML) has become an increasingly popular tool for automated variable selection in high-dimensional settings. Even though the ability to deal with a large number of potential co...
www.degruyterbrill.com
November 14, 2025 at 9:39 PM
Double machine learning fits an adjustment model from a confounder set using correlation and so breaks down when offered variables that have good correlation just *because* they aren't suitable adjustment variables
#IWouldSimplyNotIncludeEndogenousVariables
#IWouldSimplyNotIncludeEndogenousVariables