Cross-fitting trains nuisance estimators outside each observation's fold and evaluates the target score on the held-out fold.
Double machine learning uses orthogonal estimating equations and cross-fitting so that sufficiently accurate machine-learning nuisance estimates yield asymptotically normal target estimates.
Articles by others on the same topic
There are currently no matching articles.