Author

Kwangho Kim

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Preprint Oct 2026

Semi-Supervised Kernel Ridge Fr\'echet Regression

Fr\'echet regression provides a framework for predicting random object-valued responses by minimizing the conditional expected squared distances. We propose semi-supervised kernel ridge Fr\'echet regression (SS-KRFR) to exploit unlabeled covariates when labeled samples are scarce. The method learns kernel spectral feat...

Jae Won Seo, Kwangho Kim, Jisu Kim · 0 citations

#machine learning Preprint Apr 2025

Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift

We study counterfactual regression, which maps features to outcomes under hypothetical scenarios that differ from those observed in the data. This problem is central to decision-making under distribution shift, where treatment patterns may change at deployment. We develop a semiparametric framework for counterfactual r...

Kwangho Kim · 1 citation