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1 |
Empirical risk minimization in the interpolating regime with application to neural network learning
Mücke, Nicole. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2025
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2 |
Which spaces can be embedded in reproducing kernel Hilbert spaces?
Schölpple, Max. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2025
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3 |
Which Spaces can be Embedded in Reproducing Kernel Hilbert Spaces?
Enthalten in Constructive approximation 24.1.2025: 1-48
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4 |
Regression from linear models to neural networks
Holzmüller, David. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2023
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5 |
Intrinsic dimension adaptive learning rates for kernel methods
Hamm, Thomas. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2022
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6 |
Learning with high-dimensional data
Fischer, Simon. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2022
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7 |
[Rohrer]
MsbG
Rohrer, Sebastian. - Berlin : Erich Schmidt Verlag, 2018
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8 |
Convergence Types and Rates in Generic Karhunen-Loève Expansions with Applications to Sample Path Properties
Enthalten in Potential analysis 6.7.2018: 1-35
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9 |
Kernel-based expectile regression
Farooq, Muhammad. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2017
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10 |
Representation of quasi‐monotone functionals by families of separating hyperplanes
Enthalten in Mathematische Nachrichten Bd. 290, 2017, Nr. 11-12: 1859-1883. 25 S.
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