Orthogonal Sparse PCA and Covariance Estimation via Procrustes
Reformulation

Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation

12 February 2016

Konstantinos Benidis

Daniel P. Palomar

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Papers citing "Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation"

13 / 13 papers shown

Title
Sparse PCA with False Discovery Rate Controlled Variable Selection Jasin Machkour Arnaud Breloy Michael Muma Daniel P. Palomar Frédéric Pascal 49 5 0 16 Jan 2024
Sparse PCA With Multiple Components Ryan Cory-Wright J. Pauphilet 225 2 0 29 Sep 2022
An iterative coordinate descent algorithm to compute sparse low-rank approximations Cristian Rusu 26 0 0 30 Jul 2021
Structured Graph Learning Via Laplacian Spectral Constraints Sandeep Kumar Jiaxi Ying J. Cardoso Daniel P. Palomar 120 58 0 24 Sep 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 88 115 0 22 Apr 2019
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 103 64 0 17 May 2018
Sparse PCA via Bipartite Matchings Megasthenis Asteris Dimitris Papailiopoulos Anastasios Kyrillidis A. Dimakis 97 27 0 04 Aug 2015
Sparse Generalized Eigenvalue Problem via Smooth Optimization Junxiao Song P. Babu Daniel P. Palomar 80 66 0 28 Aug 2014
Scalable sparse covariance estimation via self-concordance Anastasios Kyrillidis Rabeeh Karimi Mahabadi Quoc Tran-Dinh Volkan Cevher 70 13 0 13 May 2014
Truncated Power Method for Sparse Eigenvalue Problems Xiao-Tong Yuan Tong Zhang 165 331 0 12 Dec 2011
Sparse principal component analysis and iterative thresholding Zongming Ma 153 334 0 12 Dec 2011
Regularized estimation of large covariance matrices Peter J. Bickel Elizaveta Levina 437 1,389 0 13 Mar 2008
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 226 5,049 0 10 Nov 2007