December 11, 2019 /

Preprint news


Simon Fischer, Some new bounds on the entropy numbers of diagonal operators, J. Approx. Theory, 2020.

Simon Fischer and Ingo Steinwart, Sobolev norm learning rates for regularized least-squares algorithm, arXiv e-prints, 2019

Uta Freiberg and Stefan Kohl, Martin boundary theory on inhomogenous fractals, 2019

Ernesto De Vito, Nicole Mücke and Lorenzo Rosasco, Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces, 2019

Nicole Mücke and Ingo Steinwart, Global Minima of DNNs: The lenty Pantry, 2019

Gilles Blanchard, Peter Mathe and Nicole Mücke, Lepskii Principle in Supervised Learning

I. Blaschzyk, I. Steinwart, Improved Classification Rates for Localized SVMs, arXiv:1905.01502 (2019) . [ preprint.pdf ]

I. Steinwart, A sober look at neural network initializations, tech. rep., Fakultät für Mathematik und Physik, Universität Stuttgart, 2019. [ preprint.pdf ]

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