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Optimal Solutions for Sparse Principal Component Analysis
4 July 2007
Alexandre d’Aspremont
Francis R. Bach
L. Ghaoui
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Papers citing
"Optimal Solutions for Sparse Principal Component Analysis"
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Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
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Exact and Approximation Algorithms for Sparse PCA
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Approximation Algorithms for Sparse Principal Component Analysis
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An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
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A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
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Subexponential-Time Algorithms for Sparse PCA
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Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
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Yong-mei Xu
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Sparse DNNs with Improved Adversarial Robustness
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Sparse Principal Component Analysis via Variable Projection
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Near-Optimal Stochastic Approximation for Online Principal Component Estimation
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Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation
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A Randomized Rounding Algorithm for Sparse PCA
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A Convex Sparse PCA for Feature Analysis
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Sparse PCA via Covariance Thresholding
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Truncated Power Method for Sparse Eigenvalue Problems
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Sparse Non Gaussian Component Analysis by Semidefinite Programming
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