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SPSD Matrix Approximation vis Column Selection: Theories, Algorithms,
  and Extensions

SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions

22 June 2014
Shusen Wang
Luo Luo
Zhihua Zhang
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Papers citing "SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions"

5 / 5 papers shown
Title
Scalable Gaussian Process Computations Using Hierarchical Matrices
Scalable Gaussian Process Computations Using Hierarchical Matrices
Christopher J. Geoga
M. Anitescu
Michael L. Stein
21
41
0
09 Aug 2018
GIANT: Globally Improved Approximate Newton Method for Distributed
  Optimization
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang
Farbod Roosta-Khorasani
Peng Xu
Michael W. Mahoney
36
127
0
11 Sep 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
30
128
0
09 Jun 2017
A Practical Guide to Randomized Matrix Computations with MATLAB
  Implementations
A Practical Guide to Randomized Matrix Computations with MATLAB Implementations
Shusen Wang
30
37
0
28 May 2015
Matrix Coherence and the Nystrom Method
Matrix Coherence and the Nystrom Method
Ameet Talwalkar
Afshin Rostamizadeh
96
88
0
09 Aug 2014
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