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Data-dependent compression of random features for large-scale kernel
  approximation

Data-dependent compression of random features for large-scale kernel approximation

9 October 2018
Raj Agrawal
Trevor Campbell
Jonathan H. Huggins
Tamara Broderick
ArXivPDFHTML

Papers citing "Data-dependent compression of random features for large-scale kernel approximation"

3 / 3 papers shown
Title
Coded Machine Unlearning
Coded Machine Unlearning
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
MIACV
24
37
0
31 Dec 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
109
324
0
09 Feb 2016
1