On the Asymptotic Inadmissibility of Double Machine Learning Estimators Under Structure-Agnostic Models
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arXiv:2606.22391v2 Announce Type: replace-cross Abstract: Structure-agnostic (SA) models introduced by Balakrishnan et al. (2026) aim to reflect the general lack of knowledge of structural assumptions on data-generating laws such as smoothness or sparsity in practice. Roughly speaking, SA models re…
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- 2026-09-07 04:00 · arXiv stat.ML
On the Asymptotic Inadmissibility of Double Machine Learning Estimators Under Structure-Agnostic Models