Unverified50% confidenceFactExact time
The core idea of DML is to use machine learning models to separately fit the outcome variable and the treatment variable, then eliminate regularization bias through orthogonalization (Neyman orthogonality) and cross-fitting, thereby obtaining an unbiased and √n-consistent estimator.
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10/27/2026
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