Harro Walk

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math.ST2026

On public and private binary classification with metric space valued predictors

LÃ¡szlÃ³ GyÃ¶rfi, Martin Kroll, Harro Walk

We consider the problem of binary classification in a framework where the predictor $X$ takes values in an arbitrary separable metric space $X$ and the label $Y$ values in…

math.ST2024

Distribution-free tests for lossless feature selection in classification and regression

LÃ¡szlÃ³ GyÃ¶rfi, TamÃ¡s Linder, Harro Walk

We study the problem of lossless feature selection for a $d$ -dimensional feature vector $X = (X^{(1)}, \dots, X^{(d)})$ and label $Y$ for binary classification as well as nonparametri…