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On the Asymptotic Inadmissibility of Double Machine Learning Estimators Under Structure-Agnostic Models
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 restrict the observed-data generating law to be in some rn-ne
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