6 citations · 6 across the 2 of their papers we have counts for
2 papers
math.ST2019★ 6 cited
Lepskii Principle in Supervised Learning
Gilles Blanchard, Peter Mathé, Nicole Mücke
In the setting of supervised learning using reproducing kernel methods, we propose a data-dependent regularization parameter selection rule that is adaptive to the unknown regulari…
stat.ME2013
A new perspective on the Propagation-Separation approach: Taking advantage of the propagation condition
Saskia Becker, Peter Mathé
The Propagation-Separation approach is an iterative procedure for pointwise estimation of local constant and local polynomial functions. The estimator is defined as a weighted mean…