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1311.5179
Cited By
Sparse PCA via Covariance Thresholding
20 November 2013
Y. Deshpande
Andrea Montanari
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Papers citing
"Sparse PCA via Covariance Thresholding"
19 / 19 papers shown
Title
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?
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
Yue M. Lu
H. Yau
19
24
0
12 May 2022
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
Nilanjana Laha
Rajarshi Mukherjee
23
4
0
14 Aug 2021
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
Galen Reeves
24
29
0
22 May 2020
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
Song Mei
Andrea Montanari
39
624
0
14 Aug 2019
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
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
Matthew Brennan
Guy Bresler
18
50
0
20 Feb 2019
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
Hadrien Lorenzo
J. Saracco
R. Thiébaut
11
5
0
14 Jan 2019
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
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
Z. Fan
Andrea Montanari
19
47
0
19 Jul 2015
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
Y. Deshpande
Andrea Montanari
29
140
0
10 Feb 2014
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