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Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Michael Kapralov
Navid Nouri
Ilya P. Razenshteyn
A. Velingker
A. Zandieh
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Papers citing "Scaling up Kernel Ridge Regression via Locality Sensitive Hashing"

4 / 4 papers shown
Title
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
H. Avron
Michael Kapralov
Cameron Musco
Christopher Musco
A. Velingker
A. Zandieh
58
156
0
26 Apr 2018
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
221
378
0
22 May 2013
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
128
282
0
09 Aug 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
144
1,618
0
21 Dec 2009

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