Minimax Rates of Estimation for Sparse PCA in High Dimensions

3 February 2012

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? Guanyi Wang Mengqi Lou A. Pananjady CML 23 1 0 25 Jul 2023
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 Yin-Jen Chen M. Tang 60 0 0 05 Oct 2021
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 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 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 T. Tony Cai Tengyuan Liang Alexander Rakhlin 29 61 0 06 Feb 2015
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 V. Koltchinskii Karim Lounici 48 90 0 20 Aug 2014
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 Aharon Birnbaum Iain M. Johnstone B. Nadler D. Paul 49 180 0 05 Mar 2012
Optimal detection of sparse principal components in high dimension Quentin Berthet Philippe Rigollet 56 283 0 23 Feb 2012