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Regularization in kernel learning

Regularization in kernel learning

13 January 2010
S. Mendelson
Joe Neeman
ArXivPDFHTML

Papers citing "Regularization in kernel learning"

6 / 6 papers shown
Title
A Bound on the Maximal Marginal Degrees of Freedom
A Bound on the Maximal Marginal Degrees of Freedom
Paul Dommel
116
1
0
20 Feb 2024
Spectral Regularized Kernel Goodness-of-Fit Tests
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
71
4
0
08 Aug 2023
Policy Learning with Observational Data
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CML
OffRL
256
183
0
09 Feb 2017
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
172
59
0
05 Feb 2017
Statistical performance of support vector machines
Statistical performance of support vector machines
Gilles Blanchard
Olivier Bousquet
P. Massart
223
162
0
03 Apr 2008
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
214
283
0
14 Aug 2007
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