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Analysis of regularized Nyström subsampling for regression functions
  of low smoothness

Analysis of regularized Nyström subsampling for regression functions of low smoothness

3 June 2018
Shuai Lu
Peter Mathé
S. Pereverzyev
ArXivPDFHTML

Papers citing "Analysis of regularized Nyström subsampling for regression functions of low smoothness"

8 / 8 papers shown
Title
Optimal Kernel Quantile Learning with Random Features
Optimal Kernel Quantile Learning with Random Features
Caixing Wang
Xingdong Feng
94
1
0
24 Aug 2024
FALKON: An Optimal Large Scale Kernel Method
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi
Luigi Carratino
Lorenzo Rosasco
49
196
0
31 May 2017
Distributed learning with regularized least squares
Distributed learning with regularized least squares
Shaobo Lin
Xin Guo
Ding-Xuan Zhou
121
190
0
11 Aug 2016
Convergence rates of Kernel Conjugate Gradient for random design
  regression
Convergence rates of Kernel Conjugate Gradient for random design regression
Gilles Blanchard
Nicole E. Kramer
40
38
0
08 Jul 2016
Less is More: Nyström Computational Regularization
Less is More: Nyström Computational Regularization
Alessandro Rudi
Raffaello Camoriano
Lorenzo Rosasco
43
277
0
16 Jul 2015
Unregularized Online Learning Algorithms with General Loss Functions
Unregularized Online Learning Algorithms with General Loss Functions
Yiming Ying
Ding-Xuan Zhou
64
55
0
02 Mar 2015
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
125
282
0
09 Aug 2012
Learning Sets with Separating Kernels
Learning Sets with Separating Kernels
Ernesto De Vito
Lorenzo Rosasco
A. Toigo
69
52
0
16 Apr 2012
1