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Do semidefinite relaxations solve sparse PCA up to the information
  limit?
v1v2v3v4 (latest)

Do semidefinite relaxations solve sparse PCA up to the information limit?

16 June 2013
Robert Krauthgamer
B. Nadler
Dan Vilenchik
ArXiv (abs)PDFHTML

Papers citing "Do semidefinite relaxations solve sparse PCA up to the information limit?"

50 / 50 papers shown
Title
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of
  Unlabeled Data
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar
B. Nadler
67
1
0
05 Sep 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and
  Computational-Statistical Gaps
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
59
2
0
23 Feb 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
94
1
0
25 Jul 2023
Sparse PCA Beyond Covariance Thresholding
Sparse PCA Beyond Covariance Thresholding
Gleb Novikov
63
1
0
20 Feb 2023
Planted Bipartite Graph Detection
Planted Bipartite Graph Detection
Asaf Rotenberg
Wasim Huleihel
O. Shayevitz
45
0
0
07 Feb 2023
Theoretical Guarantees for Sparse Principal Component Analysis based on
  the Elastic Net
Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net
Teng Zhang
Haoyi Yang
Lingzhou Xue
CML
146
0
0
29 Dec 2022
Equivalence of Approximate Message Passing and Low-Degree Polynomials in
  Rank-One Matrix Estimation
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
Andrea Montanari
Alexander S. Wein
47
27
0
14 Dec 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg
Jeremias Sulam
62
0
0
08 Feb 2022
Inferring Hidden Structures in Random Graphs
Inferring Hidden Structures in Random Graphs
Wasim Huleihel
43
7
0
05 Oct 2021
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Kayhan Behdin
Rahul Mazumder
79
4
0
23 Sep 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
68
4
0
14 Aug 2021
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Tommaso dÓrsi
Pravesh Kothari
Gleb Novikov
David Steurer
AAML
128
25
0
12 Nov 2020
Compressive Phase Retrieval: Optimal Sample Complexity with Deep
  Generative Priors
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors
Paul Hand
Oscar Leong
V. Voroninski
66
7
0
24 Aug 2020
All-or-nothing statistical and computational phase transitions in sparse
  spiked matrix estimation
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
Cynthia Rush
76
36
0
14 Jun 2020
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative
  Priors
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola
Paul Hand
V. Voroninski
101
4
0
14 Jun 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
66
16
0
21 May 2020
Information-theoretic limits of a multiview low-rank symmetric spiked
  matrix model
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model
Jean Barbier
Galen Reeves
102
14
0
16 May 2020
0-1 phase transitions in sparse spiked matrix estimation
0-1 phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
89
15
0
12 Nov 2019
A greedy anytime algorithm for sparse PCA
A greedy anytime algorithm for sparse PCA
Guy Holtzman
Adam Soffer
Dan Vilenchik
85
16
0
15 Oct 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
99
148
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
177
63
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
70
51
0
20 Feb 2019
Supervised Learning for Multi-Block Incomplete Data
Supervised Learning for Multi-Block Incomplete Data
Hadrien Lorenzo
J. Saracco
R. Thiébaut
132
5
0
14 Jan 2019
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models
  and Phase Retrieval
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval
Jianqing Fan
Han Liu
Zhaoran Wang
Zhuoran Yang
125
22
0
21 Aug 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
79
110
0
02 Jul 2018
Reducibility and Computational Lower Bounds for Problems with Planted
  Sparse Structure
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
134
110
0
19 Jun 2018
On Stein's Identity and Near-Optimal Estimation in High-dimensional
  Index Models
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models
Zhuoran Yang
Krishnakumar Balasubramanian
Han Liu
61
15
0
26 Sep 2017
ReFACTor: Practical Low-Rank Matrix Estimation Under Column-Sparsity
ReFACTor: Practical Low-Rank Matrix Estimation Under Column-Sparsity
M. Gavish
Regev Schweiger
Elior Rahmani
Eran Halperin
103
0
0
22 May 2017
Robust Sparse Estimation Tasks in High Dimensions
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
128
27
0
20 Feb 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate
  Message Passing and Applications
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
161
130
0
03 Jan 2017
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
137
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
107
75
0
18 Jul 2016
Semidefinite Programs for Exact Recovery of a Hidden Community
Semidefinite Programs for Exact Recovery of a Hidden Community
Bruce Hajek
Yihong Wu
Jiaming Xu
161
32
0
20 Feb 2016
Sharp Computational-Statistical Phase Transitions via Oracle
  Computational Model
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model
Zhaoran Wang
Quanquan Gu
Han Liu
156
12
0
30 Dec 2015
Signed Support Recovery for Single Index Models in High-Dimensions
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov
Q. Lin
Jun S. Liu
49
10
0
07 Nov 2015
Sparse PCA via Bipartite Matchings
Sparse PCA via Bipartite Matchings
Megasthenis Asteris
Dimitris Papailiopoulos
Anastasios Kyrillidis
A. Dimakis
103
27
0
04 Aug 2015
Sum-of-Squares Lower Bounds for Sparse PCA
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma
A. Wigderson
90
74
0
23 Jul 2015
On the Worst-Case Approximability of Sparse PCA
On the Worst-Case Approximability of Sparse PCA
S. Chan
Dimitris Papailiopoulos
A. Rubinstein
61
7
0
21 Jul 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
208
47
0
19 Jul 2015
Phase Transitions in Sparse PCA
Phase Transitions in Sparse PCA
T. Lesieur
Florent Krzakala
Lenka Zdeborova
133
82
0
01 Mar 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
129
112
0
15 Dec 2014
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in
  Polynomial Time
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang
Huanran Lu
Han Liu
134
36
0
22 Aug 2014
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
123
43
0
19 Jul 2014
Lower bounds on the performance of polynomial-time algorithms for sparse
  linear regression
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
191
130
0
09 Feb 2014
Statistical-Computational Tradeoffs in Planted Problems and Submatrix
  Localization with a Growing Number of Clusters and Submatrices
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
Yudong Chen
Jiaming Xu
284
216
0
06 Feb 2014
Sparsistency and agnostic inference in sparse PCA
Sparsistency and agnostic inference in sparse PCA
Jing Lei
Vincent Q. Vu
132
55
0
27 Jan 2014
Sparse PCA via Covariance Thresholding
Sparse PCA via Covariance Thresholding
Y. Deshpande
Andrea Montanari
184
108
0
20 Nov 2013
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and
  Trade-offs
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs
Jiaming Xu
Rui Wu
Kai Zhu
Bruce Hajek
R. Srikant
Lei Ying
202
44
0
01 Oct 2013
Computational barriers in minimax submatrix detection
Computational barriers in minimax submatrix detection
Zongming Ma
Yihong Wu
241
152
0
23 Sep 2013
Sparse and Functional Principal Components Analysis
Sparse and Functional Principal Components Analysis
Genevera I. Allen
Michael Weylandt
54
17
0
11 Sep 2013
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