2 papers
math.ST2026
On public and private binary classification with metric space valued predictors
László Györfi, Martin Kroll, Harro Walk
We consider the problem of binary classification in a framework where the predictor takes values in an arbitrary separable metric space and the label values in…
math.ST2026
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
Martin Kroll
We study the asymptotic behavior of both spherical -designs and random uniform designs as the set of sampling points in non-parametric regression with spherical regressors of ar…