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Fast approximation of matrix coherence and statistical leverage

Fast approximation of matrix coherence and statistical leverage

18 September 2011
P. Drineas
M. Magdon-Ismail
Michael W. Mahoney
David P. Woodruff
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Papers citing "Fast approximation of matrix coherence and statistical leverage"

8 / 8 papers shown
Title
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Younghyun Cho
James Demmel
Michal Derezinski
Haoyun Li
Hengrui Luo
Michael W. Mahoney
Riley Murray
37
6
0
30 Aug 2023
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Michal Derezinski
65
6
0
06 Jun 2022
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
129
44
0
09 Nov 2019
Union of Intersections (UoI) for Interpretable Data Driven Discovery and
  Prediction
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
K. Bouchard
Alejandro F. Bujan
Farbod Roosta-Khorasani
Shashanka Ubaru
P. Prabhat
A. Snijders
J. Mao
E. Chang
Michael W. Mahoney
Sharmodeep Bhattacharyya
28
18
0
22 May 2017
Unbiased estimates for linear regression via volume sampling
Unbiased estimates for linear regression via volume sampling
Michal Derezinski
Manfred K. Warmuth
103
51
0
19 May 2017
Matrix Coherence and the Nystrom Method
Matrix Coherence and the Nystrom Method
Ameet Talwalkar
Afshin Rostamizadeh
116
88
0
09 Aug 2014
Learning Out of Leaders
Learning Out of Leaders
Mathilde Mougeot
D. Picard
K. Tribouley
134
20
0
12 Jan 2010
A randomized algorithm for principal component analysis
A randomized algorithm for principal component analysis
V. Rokhlin
Arthur Szlam
M. Tygert
71
429
0
12 Sep 2008
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