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Information-theoretically Optimal Sparse PCA

Information-theoretically Optimal Sparse PCA

10 February 2014
Y. Deshpande
Andrea Montanari
ArXivPDFHTML

Papers citing "Information-theoretically Optimal Sparse PCA"

9 / 9 papers shown
Title
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Xiaosi Gu
Tomoyuki Obuchi
98
0
0
29 Nov 2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
68
6
0
04 Nov 2024
Estimation of embedding vectors in high dimensions
Estimation of embedding vectors in high dimensions
G. A. Azar
M. Emami
A. Fletcher
Sundeep Rangan
37
1
0
12 Dec 2023
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
62
58
0
26 Jul 2019
Sparse PCA via Covariance Thresholding
Sparse PCA via Covariance Thresholding
Y. Deshpande
Andrea Montanari
85
105
0
20 Nov 2013
Finding Hidden Cliques of Size \sqrt{N/e} in Nearly Linear Time
Finding Hidden Cliques of Size \sqrt{N/e} in Nearly Linear Time
Y. Deshpande
Andrea Montanari
49
65
0
26 Apr 2013
State Evolution for General Approximate Message Passing Algorithms, with
  Applications to Spatial Coupling
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Adel Javanmard
Andrea Montanari
40
260
0
21 Nov 2012
Sparse Principal Components Analysis
Sparse Principal Components Analysis
Iain M. Johnstone
A. Lu
74
212
0
28 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
81
312
0
27 Mar 2008
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