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1810.04249
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Data-dependent compression of random features for large-scale kernel approximation
9 October 2018
Raj Agrawal
Trevor Campbell
Jonathan H. Huggins
Tamara Broderick
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Papers citing
"Data-dependent compression of random features for large-scale kernel approximation"
4 / 4 papers shown
Title
Coded Machine Unlearning
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
MIACV
27
38
0
31 Dec 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
51
172
0
23 Apr 2020
ORCCA: Optimal Randomized Canonical Correlation Analysis
Yinsong Wang
Shahin Shahrampour
21
5
0
11 Oct 2019
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
112
325
0
09 Feb 2016
1