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Exact and Approximation Algorithms for Sparse PCA

Exact and Approximation Algorithms for Sparse PCA

28 August 2020
Yongchun Li
Weijun Xie
ArXiv (abs)PDFHTML

Papers citing "Exact and Approximation Algorithms for Sparse PCA"

7 / 7 papers shown
Title
Robust support vector machines via conic optimization
Robust support vector machines via conic optimization
Valentina Cepeda
Andrés Gómez
Shaoning Han
59
0
0
02 Feb 2024
Do algorithms and barriers for sparse principal component analysis
  extend to other structured settings?
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
Guanyi Wang
Mengqi Lou
A. Pananjady
CML
92
1
0
25 Jul 2023
On the Partial Convexification for Low-Rank Spectral Optimization: Rank
  Bounds and Algorithms
On the Partial Convexification for Low-Rank Spectral Optimization: Rank Bounds and Algorithms
Yongchun Li
Weijun Xie
41
5
0
12 May 2023
Variable Selection for Kernel Two-Sample Tests
Variable Selection for Kernel Two-Sample Tests
Jie Wang
Santanu S. Dey
Yao Xie
77
5
0
15 Feb 2023
Sparse PCA: a Geometric Approach
Sparse PCA: a Geometric Approach
Dimitris Bertsimas
Driss Lahlou Kitane
80
8
0
12 Oct 2022
Sparse PCA With Multiple Components
Sparse PCA With Multiple Components
Ryan Cory-Wright
J. Pauphilet
225
2
0
29 Sep 2022
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Kayhan Behdin
Rahul Mazumder
67
4
0
23 Sep 2021
1