Nicole M\"ucke

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Papers (8)

1. Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces math.FA · 2019 · author #2
2. Lepskii Principle in Supervised Learning math.ST · 2019 · author #3
3. Beating SGD Saturation with Tail-Averaging and Minibatching stat.ML · 2019 · author #1
4. Adaptivity for Regularized Kernel Methods by Lepskii's Principle stat.ML · 2018 · author #1
5. Reducing training time by efficient localized kernel regression math.ST · 2017 · author #1
6. Kernel regression, minimax rates and effective dimensionality: beyond the regular case stat.ML · 2016 · author #2
7. Parallelizing Spectral Algorithms for Kernel Learning math.ST · 2016 · author #2
8. Optimal Rates For Regularization Of Statistical Inverse Learning Problems stat.ML · 2016 · author #2

Mentions

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Frequent Coauthors

• Gilles Blanchard 4 shared papers
• Lorenzo Rosasco 2 shared papers
• Ernesto De Vito 1 shared papers
• Gergely Neu 1 shared papers
• Peter Math\'e 1 shared papers