ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1202.0786
  4. Cited By
Minimax Rates of Estimation for Sparse PCA in High Dimensions

Minimax Rates of Estimation for Sparse PCA in High Dimensions

3 February 2012
Vincent Q. Vu
Jing Lei
ArXivPDFHTML

Papers citing "Minimax Rates of Estimation for Sparse PCA in High Dimensions"

12 / 12 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
Sparse PCA on fixed-rank matrices
Sparse PCA on fixed-rank matrices
Alberto Del Pia
9
6
0
07 Jan 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
60
0
0
05 Oct 2021
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
20
57
0
26 Jul 2019
Diffusion Approximations for Online Principal Component Estimation and
  Global Convergence
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
C. J. Li
Mengdi Wang
Han Liu
Tong Zhang
26
12
0
29 Aug 2018
Optimality and Sub-optimality of PCA for Spiked Random Matrices and
  Synchronization
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
16
59
0
19 Sep 2016
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
29
61
0
06 Feb 2015
The Fast Convergence of Incremental PCA
The Fast Convergence of Incremental PCA
Akshay Balsubramani
S. Dasgupta
Y. Freund
40
141
0
15 Jan 2015
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
High Dimensional Semiparametric Scale-Invariant Principal Component
  Analysis
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang Han
Han Liu
40
16
0
18 Feb 2014
Minimax bounds for sparse PCA with noisy high-dimensional data
Minimax bounds for sparse PCA with noisy high-dimensional data
Aharon Birnbaum
Iain M. Johnstone
B. Nadler
D. Paul
49
180
0
05 Mar 2012
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
56
283
0
23 Feb 2012
1