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Dimensionality Reduction and Wasserstein Stability for Kernel Regression
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Dimensionality Reduction and Wasserstein Stability for Kernel Regression

Journal of machine learning research (JMLR), 2022
17 March 2022
Stephan Eckstein
Armin Iske
Mathias Trabs
ArXiv (abs)PDFHTMLGithub

Papers citing "Dimensionality Reduction and Wasserstein Stability for Kernel Regression"

4 / 4 papers shown
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert SpacesInternational Conference on Sampling Theory and Applications (SampTA), 2025
Armin Iske
Lennart Ohlsen
308
0
0
18 Apr 2025
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert SpacesInternational Conference on Sampling Theory and Applications (SampTA), 2025
Armin Iske
152
1
0
18 Apr 2025
Optimal nonparametric estimation of the expected shortfall risk
Optimal nonparametric estimation of the expected shortfall risk
Daniel Bartl
Stephan Eckstein
245
1
0
01 May 2024
On the Connection between $L_p$ and Risk Consistency and its
  Implications on Regularized Kernel Methods
On the Connection between LpL_pLp​ and Risk Consistency and its Implications on Regularized Kernel MethodsJournal of machine learning research (JMLR), 2023
Hannes Köhler
318
1
0
27 Mar 2023
1
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