6 citations · 6 across the 2 of their papers we have counts for
3 papers
math.ST2020
Strongly universally consistent nonparametric regression and classification with privatised data
Thomas Berrett, László Györfi, Harro Walk
In this paper we revisit the classical problem of nonparametric regression, but impose local differential privacy constraints. Under such constraints, the raw data $(X_1,Y_1),\ldot…
math.ST2019★ 6 cited
On the rate of convergence of a neural network regression estimate learned by gradient descent
Alina Braun, Michael Kohler, Harro Walk
Nonparametric regression with random design is considered. Estimates are defined by minimzing a penalized empirical risk over a suitably chosen class of neural networks with…
math.PR2018
The limit distribution of the maximum probability nearest neighbor ball
László Györfi, Norbert Henze, Harro Walk
Let be independent random points drawn from an absolutely continuous probability measure with density in . Under mild conditions on , we der…