Introduces D2S3 semiparametric framework that extends AIPW estimators to semi-supervised settings with MAR labeling, distribution shift, and decaying overlap, supplying corrected asymptotic rates instead of root-n convergence.
Augmented doubly robust post-imputation inference for proteomic data.bioRxiv, pages 2024–03,
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Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Introduces D2S3 semiparametric framework that extends AIPW estimators to semi-supervised settings with MAR labeling, distribution shift, and decaying overlap, supplying corrected asymptotic rates instead of root-n convergence.