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spiked covariance model

10 papers

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Co-occurring keywords · papers mentioning both

high-dimensional data (3) principal component analysis (3) dimensionality reduction (3) random matrix theory (2) sparse pca (2) sparse principal component analysis (2) high-dimensional statistics (2) covariance estimation (2) non-convex optimization (2) high-dimensional classification (1)

Papers

No Double Descent in Principal Component Regression: A High-Dimensional Analysis ICML 2024 Bayesian Spiked Laplacian Graphs JMLR 2023 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model JMLR 2020 On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA COLT 2019 Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness COLT 2019 Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019 Detection limits in the high-dimensional spiked rectangular model COLT 2018 Stay on path: PCA along graph paths ICML 2015 Memory Limited, Streaming PCA NeurIPS 2013