A Bound on the Maximal Marginal Degrees of Freedom

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A Bound on the Maximal Marginal Degrees of Freedom

20 February 2024

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Papers citing "A Bound on the Maximal Marginal Degrees of Freedom"

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Title
On the Approximation of Kernel functions Paul Dommel Alois Pichler 125 0 0 11 Mar 2024
Approximation beats concentration? An approximation view on inference with smooth radial kernels M. Belkin 98 69 0 10 Jan 2018
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 78 196 0 31 May 2017
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm Simon Fischer Ingo Steinwart 175 151 0 23 Feb 2017
Less is More: Nyström Computational Regularization Alessandro Rudi Raffaello Camoriano Lorenzo Rosasco 61 277 0 16 Jul 2015
Randomized sketches for kernels: Fast and optimal non-parametric regression Yun Yang Mert Pilanci Martin J. Wainwright 84 174 0 25 Jan 2015
Early stopping and non-parametric regression: An optimal data-dependent stopping rule Garvesh Raskutti Martin J. Wainwright Bin Yu 119 299 0 15 Jun 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 163 282 0 09 Aug 2012
Regularization in kernel learning S. Mendelson Joe Neeman 329 145 0 13 Jan 2010