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Sparse PCA via Covariance Thresholding

Sparse PCA via Covariance Thresholding

20 November 2013
Y. Deshpande
Andrea Montanari
ArXivPDFHTML

Papers citing "Sparse PCA via Covariance Thresholding"

19 / 19 papers shown
Title
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
28
0
0
02 Jan 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
33
1
0
25 Jul 2023
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel
  Matrices with Polynomial Scalings
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings
Yue M. Lu
H. Yau
19
24
0
12 May 2022
Covariance Structure Estimation with Laplace Approximation
Covariance Structure Estimation with Laplace Approximation
Bongjung Sung
Jaeyong Lee
CML
20
1
0
04 Nov 2021
On Support Recovery with Sparse CCA: Information Theoretic and
  Computational Limits
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha
Rajarshi Mukherjee
23
4
0
14 Aug 2021
Precise Statistical Analysis of Classification Accuracies for
  Adversarial Training
Precise Statistical Analysis of Classification Accuracies for Adversarial Training
Adel Javanmard
Mahdi Soltanolkotabi
AAML
26
62
0
21 Oct 2020
Information-Theoretic Limits for the Matrix Tensor Product
Information-Theoretic Limits for the Matrix Tensor Product
Galen Reeves
24
29
0
22 May 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
25
14
0
21 May 2020
The generalization error of random features regression: Precise
  asymptotics and double descent curve
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
39
624
0
14 Aug 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
19
135
0
26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
20
57
0
26 Jul 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
18
50
0
20 Feb 2019
Computational Hardness of Certifying Bounds on Constrained PCA Problems
Computational Hardness of Certifying Bounds on Constrained PCA Problems
Afonso S. Bandeira
Dmitriy Kunisky
Alexander S. Wein
18
64
0
19 Feb 2019
Supervised Learning for Multi-Block Incomplete Data
Supervised Learning for Multi-Block Incomplete Data
Hadrien Lorenzo
J. Saracco
R. Thiébaut
11
5
0
14 Jan 2019
Optimality and Sub-optimality of PCA for Spiked Random Matrices and
  Synchronization
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
24
59
0
19 Sep 2016
Information-theoretic bounds and phase transitions in clustering, sparse
  PCA, and submatrix localization
Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization
Jessica E. Banks
Cristopher Moore
Nicolas Verzélen
Roman Vershynin
Jiaming Xu
29
74
0
18 Jul 2016
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
19
47
0
19 Jul 2015
Statistical and computational trade-offs in estimation of sparse
  principal components
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
56
136
0
22 Aug 2014
Information-theoretically Optimal Sparse PCA
Information-theoretically Optimal Sparse PCA
Y. Deshpande
Andrea Montanari
29
140
0
10 Feb 2014
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