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math.ST2023
Statistical inverse learning problems with random observations
Abhishake Rastogi, Tapio Helin, Nicole Mücke
We provide an overview of recent progress in statistical inverse problems with random experimental design, covering both linear and nonlinear inverse problems. Different regulariza…
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…