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Sparse PCA via Covariance Thresholding

Sparse PCA via Covariance Thresholding

20 November 2013
Y. Deshpande
Andrea Montanari
ArXivPDFHTML

Papers citing "Sparse PCA via Covariance Thresholding"

19 / 19 papers shown
Title
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
97
0
0
02 Jan 2024
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
64
58
0
26 Jul 2019
Sum-of-Squares Lower Bounds for Sparse PCA
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma
A. Wigderson
32
74
0
23 Jul 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
61
47
0
19 Jul 2015
Statistical and computational trade-offs in estimation of sparse
  principal components
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
81
136
0
22 Aug 2014
Computational barriers in minimax submatrix detection
Computational barriers in minimax submatrix detection
Zongming Ma
Yihong Wu
140
149
0
23 Sep 2013
Do semidefinite relaxations solve sparse PCA up to the information
  limit?
Do semidefinite relaxations solve sparse PCA up to the information limit?
Robert Krauthgamer
B. Nadler
Dan Vilenchik
54
88
0
16 Jun 2013
Computational Lower Bounds for Sparse PCA
Computational Lower Bounds for Sparse PCA
Quentin Berthet
Philippe Rigollet
61
93
0
03 Apr 2013
Optimal rates of convergence for sparse covariance matrix estimation
Optimal rates of convergence for sparse covariance matrix estimation
T. Cai
Harrison H. Zhou
125
246
0
13 Feb 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
83
326
0
06 Nov 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu
Jing Lei
85
142
0
03 Feb 2012
On information plus noise kernel random matrices
On information plus noise kernel random matrices
N. Karoui
50
65
0
11 Nov 2010
Optimal rates of convergence for covariance matrix estimation
Optimal rates of convergence for covariance matrix estimation
Tommaso Cai
Cun-Hui Zhang
Harrison H. Zhou
95
474
0
19 Oct 2010
The spectrum of kernel random matrices
The spectrum of kernel random matrices
N. Karoui
120
223
0
04 Jan 2010
Sparse Principal Components Analysis
Sparse Principal Components Analysis
Iain M. Johnstone
A. Lu
87
212
0
28 Jan 2009
Operator norm consistent estimation of large-dimensional sparse
  covariance matrices
Operator norm consistent estimation of large-dimensional sparse covariance matrices
N. Karoui
132
397
0
21 Jan 2009
Covariance regularization by thresholding
Covariance regularization by thresholding
Peter J. Bickel
Elizaveta Levina
147
1,270
0
20 Jan 2009
High-dimensional analysis of semidefinite relaxations for sparse
  principal components
High-dimensional analysis of semidefinite relaxations for sparse principal components
Arash A. Amini
Martin J. Wainwright
97
312
0
27 Mar 2008
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
89
1,384
0
13 Mar 2008
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