Yaroslav Mukhin — accepted AI-conference papers

2025

Kernel von Mises Formula of the Influence Function

NeurIPS 2025poster

The influence function (IF) of a statistical functional is the Riesz representer of its derivative, also known as its first variation and Fisher-Rao gradient. It is a key object for numerical optimization over probability measures, semiparametric efficiency theory, standard constructions of efficie…

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2024

Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters

Brian M Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica

ICML 2024poster

When estimating target parameters in nonparametric models with nuisance parameters, substituting the unknown nuisances with nonparametric estimators can introduce "plug-in bias." Traditional methods addressing this suboptimal bias-variance trade-off rely on the influence function (IF) of the target…

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