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Large-Scale Sparse Principal Component Analysis with Application to Text
  Data

Large-Scale Sparse Principal Component Analysis with Application to Text Data

26 October 2012
Youwei Zhang
L. Ghaoui
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Sparse Principal Component Analysis with Application to Text Data"

18 / 18 papers shown
Title
Exact and Approximation Algorithms for Sparse PCA
Exact and Approximation Algorithms for Sparse PCA
Yongchun Li
Weijun Xie
76
21
0
28 Aug 2020
Gradient-based Sparse Principal Component Analysis with Extensions to
  Online Learning
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Yixuan Qiu
Jing Lei
Kathryn Roeder
24
11
0
19 Nov 2019
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
103
64
0
17 May 2018
Exact Dimensionality Selection for Bayesian PCA
Exact Dimensionality Selection for Bayesian PCA
C. Bouveyron
Pierre Latouche
Pierre-Alexandre Mattei
40
17
0
08 Mar 2017
Bayesian Variable Selection for Globally Sparse Probabilistic PCA
Bayesian Variable Selection for Globally Sparse Probabilistic PCA
C. Bouveyron
Pierre Latouche
Pierre-Alexandre Mattei
47
23
0
19 May 2016
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View
Paris V. Giampouras
A. Rontogiannis
K. Themelis
K. Koutroumbas
37
2
0
11 Feb 2016
Signed Support Recovery for Single Index Models in High-Dimensions
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov
Q. Lin
Jun S. Liu
42
10
0
07 Nov 2015
High Dimensional Semiparametric Latent Graphical Model for Mixed Data
High Dimensional Semiparametric Latent Graphical Model for Mixed Data
Jianqing Fan
Han Liu
Y. Ning
H. Zou
114
122
0
29 Apr 2014
Sparse Principal Component Analysis via Rotation and Truncation
Sparse Principal Component Analysis via Rotation and Truncation
Zhenfang Hu
Gang Pan
Yueming Wang
Zhaohui Wu
99
45
0
06 Mar 2014
The Sparse Principal Component of a Constant-rank Matrix
The Sparse Principal Component of a Constant-rank Matrix
Megasthenis Asteris
Dimitris Papailiopoulos
G. N. Karystinos
52
9
0
20 Dec 2013
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Rémi Gribonval
Rodolphe Jenatton
Francis R. Bach
M. Kleinsteuber
Matthias Seibert
187
85
0
13 Dec 2013
TOP-SPIN: TOPic discovery via Sparse Principal component INterference
TOP-SPIN: TOPic discovery via Sparse Principal component INterference
Martin Takáč
S. Ahipaşaoğlu
Ngai-Man Cheung
Peter Richtárik
41
2
0
04 Nov 2013
ECA: High Dimensional Elliptical Component Analysis in non-Gaussian
  Distributions
ECA: High Dimensional Elliptical Component Analysis in non-Gaussian Distributions
Fang Han
Han Liu
216
3
0
14 Oct 2013
Statistical analysis of latent generalized correlation matrix estimation
  in transelliptical distribution
Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution
Fang Han
Han Liu
377
39
0
29 May 2013
Sparse PCA through Low-rank Approximations
Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos
A. Dimakis
Stavros Korokythakis
90
71
0
03 Mar 2013
Alternating Maximization: Unifying Framework for 8 Sparse PCA
  Formulations and Efficient Parallel Codes
Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes
Peter Richtárik
Majid Jahani
S. Ahipaşaoğlu
Martin Takáč
67
29
0
17 Dec 2012
A recursive divide-and-conquer approach for sparse principal component
  analysis
A recursive divide-and-conquer approach for sparse principal component analysis
Qian Zhao
Deyu Meng
Zongben Xu
53
4
0
30 Nov 2012
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
181
858
0
30 Dec 2011
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