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Diversity sampling is an implicit regularization for kernel methods

Diversity sampling is an implicit regularization for kernel methods

20 February 2020
Michaël Fanuel
J. Schreurs
Johan A. K. Suykens
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Papers citing "Diversity sampling is an implicit regularization for kernel methods"

4 / 4 papers shown
Title
Precise expressions for random projections: Low-rank approximation and
  randomized Newton
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski
Feynman T. Liang
Zhenyu A. Liao
Michael W. Mahoney
19
23
0
18 Jun 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
16
76
0
07 May 2020
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
80
277
0
09 Aug 2012
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,122
0
25 Jul 2012
1