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Minimax bounds for sparse PCA with noisy high-dimensional data

Minimax bounds for sparse PCA with noisy high-dimensional data

5 March 2012
Aharon Birnbaum
Iain M. Johnstone
B. Nadler
D. Paul
ArXivPDFHTML

Papers citing "Minimax bounds for sparse PCA with noisy high-dimensional data"

16 / 16 papers shown
Title
Do algorithms and barriers for sparse principal component analysis
  extend to other structured settings?
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
Guanyi Wang
Mengqi Lou
A. Pananjady
CML
23
1
0
25 Jul 2023
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things
  Applications
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications
Shao-Di Wang
Hui-Ming Wang
Peng Liu
9
1
0
02 Dec 2022
Classification of high-dimensional data with spiked covariance matrix
  structure
Classification of high-dimensional data with spiked covariance matrix structure
Yin-Jen Chen
M. Tang
53
0
0
05 Oct 2021
Sparse principal component analysis for high-dimensional stationary time
  series
Sparse principal component analysis for high-dimensional stationary time series
Kou Fujimori
Yuichi Goto
Y. Liu
M. Taniguchi
18
2
0
01 Sep 2021
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
12
10
0
10 Aug 2021
Power Iteration for Tensor PCA
Power Iteration for Tensor PCA
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
19
18
0
26 Dec 2020
Generalized Four Moment Theorem with an application to the CLT for the
  spiked eigenvalues of high-dimensional general Fisher-matrices
Generalized Four Moment Theorem with an application to the CLT for the spiked eigenvalues of high-dimensional general Fisher-matrices
Dandan Jiang
Zhiqiang Hou
Z. Bai
15
1
0
11 Apr 2019
Robust Sparse Reduced Rank Regression in High Dimensions
Robust Sparse Reduced Rank Regression in High Dimensions
Kean Ming Tan
Qiang Sun
Daniela Witten
18
3
0
18 Oct 2018
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
16
167
0
08 Mar 2017
Robust Shift-and-Invert Preconditioning: Faster and More Sample
  Efficient Algorithms for Eigenvector Computation
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation
Chi Jin
Sham Kakade
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
12
42
0
29 Oct 2015
Computational and Statistical Boundaries for Submatrix Localization in a
  Large Noisy Matrix
Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
24
61
0
06 Feb 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
45
136
0
22 Aug 2014
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral
  Projectors of Sample Covariance
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral Projectors of Sample Covariance
V. Koltchinskii
Karim Lounici
48
90
0
20 Aug 2014
Influential Feature PCA for high dimensional clustering
Influential Feature PCA for high dimensional clustering
Jiashun Jin
Wanjie Wang
26
79
0
20 Jul 2014
Rate-optimal posterior contraction for sparse PCA
Rate-optimal posterior contraction for sparse PCA
Chao Gao
Harrison H. Zhou
40
35
0
30 Nov 2013
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
50
283
0
23 Feb 2012
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