DML estimators for the quadratic functional and quadratic density integral are asymptotically inadmissible under SA models and dominated by empirical HOIF estimators, while DML remains minimax for expected conditional covariance.
Perturbed double machine learning: Nonstandard inference beyond the parametric length
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Develops higher-order influence function estimators for implicitly defined parameters in non-separable structural models using U-processes theory.
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On the Asymptotic Inadmissibility of Double Machine Learning Estimators Under Structure-Agnostic Models
DML estimators for the quadratic functional and quadratic density integral are asymptotically inadmissible under SA models and dominated by empirical HOIF estimators, while DML remains minimax for expected conditional covariance.
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Higher-Order Debiased Estimators for General Treatment Models
Develops higher-order influence function estimators for implicitly defined parameters in non-separable structural models using U-processes theory.