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Review Sep 2026

Efficiency Optimality without Pathwise Differentiability: A Variational Theory for Marginal-Integral Functionals

In this work, we provide a new perspective on semiparametric efficiency theory. In particular, we reformulate the questions of optimal efficiency and its attainment as a variational problem: minimize variance over estimating functions subject to robust unbiasedness constraints. We develop this theory for marginal-integ...

Shuo Xu, Xin-Zhou Guo · 0 citations
Preprint Sep 2026

Structure-based Transfer Learning

Transfer learning improves estimation in a target study using information from related sources. Classical transfer learning is typically data-based, requiring access to the source data or to a model fitted on them. Neither is available in many modern studies, as both are often proprietary or unreported. What can be tra...

H. Ho, Xin-Zhou Guo, Shuo Xu · 0 citations

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