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Improved Bound for the Nystrom's Method and its Application to Kernel
  Classification
v1v2v3v4 (latest)

Improved Bound for the Nystrom's Method and its Application to Kernel Classification

9 November 2011
Rong Jin
Tianbao Yang
M. Mahdavi
Yu-Feng Li
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Improved Bound for the Nystrom's Method and its Application to Kernel Classification"

31 / 31 papers shown
Title
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
Zhitong Xu
D. Long
Yiming Xu
Guang Yang
Shandian Zhe
Houman Owhadi
85
0
0
15 Oct 2024
Nearly Optimal Algorithms with Sublinear Computational Complexity for
  Online Kernel Regression
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
Junfan Li
Shizhong Liao
139
0
0
14 Jun 2023
Distributed Gradient Descent for Functional Learning
Distributed Gradient Descent for Functional Learning
Zhan Yu
Jun Fan
Zhongjie Shi
Ding-Xuan Zhou
61
3
0
12 May 2023
Sampling-based Nyström Approximation and Kernel Quadrature
Sampling-based Nyström Approximation and Kernel Quadrature
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
117
15
0
23 Jan 2023
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng
Feng Zhou
Jun Zhu
BDL
83
19
0
23 Oct 2022
A kernel-based quantum random forest for improved classification
A kernel-based quantum random forest for improved classification
Maiyuren Srikumar
C. Hill
Lloyd C. L. Hollenberg
75
13
0
05 Oct 2022
Target alignment in truncated kernel ridge regression
Target alignment in truncated kernel ridge regression
Arash A. Amini
R. Baumgartner
Dai Feng
51
3
0
28 Jun 2022
Kernelized Concept Erasure
Kernelized Concept Erasure
Shauli Ravfogel
Francisco Vargas
Yoav Goldberg
Ryan Cotterell
55
35
0
28 Jan 2022
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
105
26
0
20 Jul 2021
Statistical Optimality and Computational Efficiency of Nyström Kernel
  PCA
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA
Nicholas Sterge
Bharath K. Sriperumbudur
140
10
0
19 May 2021
Geometric Interpretation of Running Nyström-Based Kernel Machines
  and Error Analysis
Geometric Interpretation of Running Nyström-Based Kernel Machines and Error Analysis
Weida Li
Mingxia Liu
Daoqiang Zhang
24
0
0
20 Feb 2020
Large-scale Kernel Methods and Applications to Lifelong Robot Learning
Large-scale Kernel Methods and Applications to Lifelong Robot Learning
Raffaello Camoriano
80
1
0
11 Dec 2019
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
Nicholas Sterge
Bharath K. Sriperumbudur
Lorenzo Rosasco
Alessandro Rudi
119
8
0
11 Jul 2019
Spectrally-truncated kernel ridge regression and its free lunch
Spectrally-truncated kernel ridge regression and its free lunch
Arash A. Amini
44
6
0
14 Jun 2019
Optimal Rates for Learning with Nyström Stochastic Gradient Methods
Optimal Rates for Learning with Nyström Stochastic Gradient Methods
Junhong Lin
Lorenzo Rosasco
95
7
0
21 Oct 2017
Multiresolution Kernel Approximation for Gaussian Process Regression
Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding
Risi Kondor
Jonathan Eskreis-Winkler
66
22
0
07 Aug 2017
Approximate Kernel PCA Using Random Features: Computational vs.
  Statistical Trade-off
Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off
Bharath K. Sriperumbudur
Nicholas Sterge
91
22
0
20 Jun 2017
Scalable Kernel K-Means Clustering with Nystrom Approximation:
  Relative-Error Bounds
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
Shusen Wang
Alex Gittens
Michael W. Mahoney
103
128
0
09 Jun 2017
Efficient Non-oblivious Randomized Reduction for Risk Minimization with
  Improved Excess Risk Guarantee
Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee
Yi Tian Xu
Haiqin Yang
Lijun Zhang
Tianbao Yang
47
7
0
06 Dec 2016
On Column Selection in Approximate Kernel Canonical Correlation Analysis
On Column Selection in Approximate Kernel Canonical Correlation Analysis
Weiran Wang
10
5
0
05 Feb 2016
The Singular Value Decomposition, Applications and Beyond
The Singular Value Decomposition, Applications and Beyond
Zhihua Zhang
65
20
0
29 Oct 2015
Less is More: Nyström Computational Regularization
Less is More: Nyström Computational Regularization
Alessandro Rudi
Raffaello Camoriano
Lorenzo Rosasco
81
277
0
16 Jul 2015
CUR Algorithm for Partially Observed Matrices
CUR Algorithm for Partially Observed Matrices
Miao Xu
Rong Jin
Zhi Zhou
111
34
0
04 Nov 2014
Far-Field Compression for Fast Kernel Summation Methods in High
  Dimensions
Far-Field Compression for Fast Kernel Summation Methods in High Dimensions
William B. March
George Biros
130
26
0
09 Sep 2014
Task-group Relatedness and Generalization Bounds for Regularized
  Multi-task Learning
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning
Chao Zhang
Dacheng Tao
T. Hu
Xiang Li
33
1
0
28 Aug 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time
Fastfood: Approximate Kernel Expansions in Loglinear Time
Quoc V. Le
Tamás Sarlós
Alex Smola
97
445
0
13 Aug 2014
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms,
  and Extensions
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions
Shusen Wang
Luo Luo
Zhihua Zhang
208
39
0
22 Jun 2014
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
Shusen Wang
Zhihua Zhang
83
23
0
01 Apr 2014
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens
Michael W. Mahoney
122
416
0
07 Mar 2013
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
203
282
0
09 Aug 2012
On the Size of the Online Kernel Sparsification Dictionary
On the Size of the Online Kernel Sparsification Dictionary
Yi Sun
Faustino J. Gomez
Jürgen Schmidhuber
56
12
0
18 Jun 2012
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