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A Bound on the Maximal Marginal Degrees of Freedom
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A Bound on the Maximal Marginal Degrees of Freedom

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

9 / 9 papers shown
Title
On the Approximation of Kernel functions
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
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
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
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
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
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
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
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
163
282
0
09 Aug 2012
Regularization in kernel learning
Regularization in kernel learning
S. Mendelson
Joe Neeman
329
145
0
13 Jan 2010