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Principal Component Projection Without Principal Component Analysis

Principal Component Projection Without Principal Component Analysis

22 February 2016
Roy Frostig
Cameron Musco
Christopher Musco
Aaron Sidford
ArXivPDFHTML

Papers citing "Principal Component Projection Without Principal Component Analysis"

7 / 7 papers shown
Title
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Michal Dereziñski
Christopher Musco
Jiaming Yang
55
2
0
09 May 2024
Over-parameterized Adversarial Training: An Analysis Overcoming the
  Curse of Dimensionality
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Yi Zhang
Orestis Plevrakis
S. Du
Xingguo Li
Zhao Song
Sanjeev Arora
29
51
0
16 Feb 2020
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and
  Hardness
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
Shashanka Ubaru
David P. Woodruff
8
36
0
13 Apr 2017
Fast estimation of approximate matrix ranks using spectral densities
Fast estimation of approximate matrix ranks using spectral densities
Shashanka Ubaru
Y. Saad
A. Seghouane
14
21
0
19 Aug 2016
Faster Principal Component Regression and Stable Matrix Chebyshev
  Approximation
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
Zeyuan Allen-Zhu
Yuanzhi Li
19
20
0
16 Aug 2016
Doubly Accelerated Methods for Faster CCA and Generalized
  Eigendecomposition
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
Zeyuan Allen-Zhu
Yuanzhi Li
16
50
0
20 Jul 2016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Zeyuan Allen-Zhu
ODL
20
577
0
18 Mar 2016
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