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Sparse PCA With Multiple Components

29 September 2022

Papers citing "Sparse PCA With Multiple Components"

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Title
BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning V. Digalakis Christos Ziakas 84 0 0 22 Nov 2023
Sparse PCA: a Geometric Approach Dimitris Bertsimas Driss Lahlou Kitane 86 8 0 12 Oct 2022
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 245 677 0 20 Mar 2021
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 102 20 0 22 Sep 2020
Exact and Approximation Algorithms for Sparse PCA Yongchun Li Weijun Xie 76 21 0 28 Aug 2020
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning Dimitris Bertsimas V. Digalakis 87 11 0 11 Jun 2020
On Polyhedral and Second-Order Cone Decompositions of Semidefinite Optimization Problems Dimitris Bertsimas Ryan Cory-Wright 66 11 0 08 Oct 2019
The Overlap Gap Property in Principal Submatrix Recovery D. Gamarnik Aukosh Jagannath S. Sen 62 29 0 26 Aug 2019
A unified approach to mixed-integer optimization problems with logical constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 56 46 0 03 Jul 2019
Practical sketching algorithms for low-rank matrix approximation J. Tropp A. Yurtsever Madeleine Udell Volkan Cevher 148 211 0 31 Aug 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 83 1,906 0 28 Jun 2016
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation Konstantinos Benidis Ying Sun P. Babu Daniel P. Palomar 204 56 0 12 Feb 2016
Sparse PCA via Bipartite Matchings Megasthenis Asteris Dimitris Papailiopoulos Anastasios Kyrillidis A. Dimakis 103 27 0 04 Aug 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 469 666 0 11 Jul 2015
Generalized Low Rank Models Madeleine Udell Corinne Horn R. Zadeh Stephen P. Boyd 137 346 0 01 Oct 2014
Minimax sparse principal subspace estimation in high dimensions Vincent Q. Vu Jing Lei 159 196 0 02 Nov 2012
Optimal detection of sparse principal components in high dimension Quentin Berthet Philippe Rigollet 171 284 0 23 Feb 2012
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA Matthias Hein Thomas Bühler 166 213 0 03 Dec 2010
An Augmented Lagrangian Approach for Sparse Principal Component Analysis Zhaosong Lu Yong Zhang 131 127 0 13 Jul 2009
High-dimensional analysis of semidefinite relaxations for sparse principal components Arash A. Amini Martin J. Wainwright 193 315 0 27 Mar 2008