41 citations · 67 across the 9 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
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…
math.NA2019★ 1 cited
A priori parameter choice in Tikhonov regularization with oversmoothing penalty for non-linear ill-posed problems
Bernd Hofmann, Peter Mathé
We study Tikhonov regularization for certain classes of non-linear ill-posed operator equations in Hilbert space. Emphasis is on the case where the solution smoothness fails to hav…