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0901.4392
Cited By
Sparse Principal Components Analysis
28 January 2009
Iain M. Johnstone
A. Lu
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Papers citing
"Sparse Principal Components Analysis"
50 / 64 papers shown
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
563
9
0
04 Nov 2024
Sparse Covariance Neural Networks
Andrea Cavallo
Zhan Gao
Elvin Isufi
277
7
0
02 Oct 2024
Computational lower bounds for multi-frequency group synchronization
Anastasia Kireeva
Afonso S. Bandeira
Dmitriy Kunisky
282
3
0
05 Jun 2024
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier
Francesco Camilli
Marco Mondelli
Yizhou Xu
353
4
0
31 May 2024
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Elie Odin
François Bachoc
A. Lagnoux
406
0
0
06 Mar 2024
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
International Conference on Machine Learning (ICML), 2023
Sorawit Saengkyongam
Junhyung Lyle Kim
Cruz Barnum
Anastasios Kyrillidis
252
0
0
06 Oct 2023
Invertible Kernel PCA with Random Fourier Features
IEEE Signal Processing Letters (IEEE SPL), 2023
Daniel Gedon
Antônio H. Ribeiro
Niklas Wahlström
Thomas B. Schon
234
15
0
09 Mar 2023
Robust empirical risk minimization via Newton's method
Econometrics and Statistics (ES), 2023
Eirini Ioannou
Muni Sreenivas Pydi
Po-Ling Loh
356
2
0
30 Jan 2023
Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
T. Tony Cai
Rong Ma
296
7
0
17 Jan 2022
Statistical limits of dictionary learning: random matrix theory and the spectral replica method
Jean Barbier
N. Macris
423
27
0
14 Sep 2021
Hessian Eigenspectra of More Realistic Nonlinear Models
Neural Information Processing Systems (NeurIPS), 2021
Zhenyu Liao
Michael W. Mahoney
432
41
0
02 Mar 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
International Conference on Machine Learning (ICML), 2021
Romain Couillet
Florent Chatelain
N. L. Bihan
308
11
0
24 Feb 2021
UNSW-NB15 Computer Security Dataset: Analysis through Visualization
Security and Privacy (SP), 2021
Zeinab Zoghi
G. Serpen
211
64
0
13 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
696
217
0
15 Dec 2020
Free Energy Wells and Overlap Gap Property in Sparse PCA
Gerard Ben Arous
Alexander S. Wein
Ilias Zadik
275
34
0
18 Jun 2020
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets
Knowledge-Based Systems (KBS), 2020
Sayyed-Ahmad Naghavi-Nozad
M. Haeri
G. Folino
915
25
0
13 Jun 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
424
102
0
16 May 2020
0-1 phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
474
15
0
12 Nov 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
368
170
0
26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA
Foundations of Computational Mathematics (FoCM), 2019
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
627
75
0
26 Jul 2019
The Kikuchi Hierarchy and Tensor PCA
Alexander S. Wein
A. Alaoui
Cristopher Moore
427
76
0
08 Apr 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges
Fatima Hussain
Rasheed Hussain
Syed Ali Hassan
Ekram Hossain
340
663
0
14 Mar 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
193
56
0
20 Feb 2019
Computational Hardness of Certifying Bounds on Constrained PCA Problems
Afonso S. Bandeira
Dmitriy Kunisky
Alexander S. Wein
328
77
0
19 Feb 2019
Supervised Learning for Multi-Block Incomplete Data
Hadrien Lorenzo
J. Saracco
R. Thiébaut
337
5
0
14 Jan 2019
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method
Jean Barbier
M. Dia
N. Macris
Florent Krzakala
Lenka Zdeborová
236
24
0
06 Dec 2018
Inconsistency of diagonal scaling under high-dimensional limit: a replica approach
T. Sei
78
0
0
17 Aug 2018
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
409
190
0
23 Jul 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Annals of Statistics (Ann. Stat.), 2018
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
481
126
0
02 Jul 2018
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
375
123
0
19 Jun 2018
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
443
20
0
12 Jun 2018
On the estimation of correlation in a binary sequence model
Haolei Weng
Yang Feng
83
0
0
27 Dec 2017
Sparse principal component analysis via axis-aligned random projections
M. Gataric
Tengyao Wang
R. Samworth
434
4
0
15 Dec 2017
On the optimality of sliced inverse regression in high dimensions
Annals of Statistics (Ann. Stat.), 2017
Q. Lin
Xinran Li
Dongming Huang
Jun S. Liu
358
26
0
21 Jan 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
537
140
0
03 Jan 2017
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
350
63
0
19 Sep 2016
New asymptotic results in principal component analysis
V. Koltchinskii
Karim Lounici
232
41
0
07 Jan 2016
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
474
476
0
08 Nov 2015
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov
Q. Lin
Jun S. Liu
268
11
0
07 Nov 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
700
56
0
19 Jul 2015
On consistency and sparsity for sliced inverse regression in high dimensions
Q. Lin
Zhigen Zhao
Jun S. Liu
415
82
0
14 Jul 2015
Stay on path: PCA along graph paths
International Conference on Machine Learning (ICML), 2015
Megasthenis Asteris
Anastasios Kyrillidis
A. Dimakis
Han-Gyol Yi
B. Chandrasekaran
265
6
0
08 Jun 2015
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
393
140
0
22 Aug 2014
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral Projectors of Sample Covariance
V. Koltchinskii
Karim Lounici
756
101
0
20 Aug 2014
Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
Andrea Montanari
E. Richard
258
119
0
18 Jun 2014
A useful variant of the Davis--Kahan theorem for statisticians
Yi Yu
Tengyao Wang
R. Samworth
593
656
0
04 May 2014
Information-theoretically Optimal Sparse PCA
Y. Deshpande
Andrea Montanari
520
155
0
10 Feb 2014
Alternating direction method of multipliers for penalized zero-variance discriminant analysis
Brendan P. W. Ames
Mingyi Hong
348
4
0
21 Jan 2014
Sparse PCA via Covariance Thresholding
Journal of machine learning research (JMLR), 2013
Y. Deshpande
Andrea Montanari
775
115
0
20 Nov 2013
Random perturbation of low rank matrices: Improving classical bounds
Sean O’Rourke
V. Vu
Ke Wang
803
117
0
12 Nov 2013
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