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An $\ell_p$ theory of PCA and spectral clustering
v1v2v3 (latest)

An ℓp\ell_pℓp​ theory of PCA and spectral clustering

24 June 2020
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
ArXiv (abs)PDFHTML

Papers citing "An $\ell_p$ theory of PCA and spectral clustering"

4 / 4 papers shown
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
Joshua Agterberg
Joshua Cape
209
2
0
10 May 2023
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent AlgorithmsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Joshua Agterberg
Jeremias Sulam
235
0
0
08 Feb 2022
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with
  Heteroskedasticity and Dependence
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and DependenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Joshua Agterberg
Zachary Lubberts
Carey Priebe
449
22
0
27 May 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
696
217
0
15 Dec 2020
1
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