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Reduced Label Complexity For Tight $\ell_2$ Regression

Reduced Label Complexity For Tight ℓ2\ell_2ℓ2​ Regression

12 May 2023
Alex Gittens
M. Magdon-Ismail
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Reduced Label Complexity For Tight $\ell_2$ Regression"

7 / 7 papers shown
Title
Active learning for reducing labeling effort in text classification
  tasks
Active learning for reducing labeling effort in text classification tasks
Peter Jacobs
Gideon Maillette de Buy Wenniger
M. Wiering
Lambert Schomaker
VLM
81
12
0
10 Sep 2021
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and
  Coordinate Descent
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard A. Gorbunov
Filip Hanzely
Peter Richtárik
103
147
0
27 May 2019
Reverse iterative volume sampling for linear regression
Reverse iterative volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
71
43
0
06 Jun 2018
Active Regression via Linear-Sample Sparsification
Active Regression via Linear-Sample Sparsification
Xue Chen
Eric Price
111
62
0
27 Nov 2017
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
252
1,140
0
25 Jul 2012
Near-optimal Coresets For Least-Squares Regression
Near-optimal Coresets For Least-Squares Regression
Christos Boutsidis
P. Drineas
M. Magdon-Ismail
135
80
0
16 Feb 2012
Fast approximation of matrix coherence and statistical leverage
Fast approximation of matrix coherence and statistical leverage
P. Drineas
M. Magdon-Ismail
Michael W. Mahoney
David P. Woodruff
151
533
0
18 Sep 2011
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