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Free Energy Wells and Overlap Gap Property in Sparse PCA

Free Energy Wells and Overlap Gap Property in Sparse PCA

18 June 2020
Gerard Ben Arous
Alexander S. Wein
Ilias Zadik
ArXivPDFHTML

Papers citing "Free Energy Wells and Overlap Gap Property in Sparse PCA"

28 / 28 papers shown
Title
0-1 phase transitions in sparse spiked matrix estimation
0-1 phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
55
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
25
14
0
15 Oct 2019
The Overlap Gap Property in Principal Submatrix Recovery
The Overlap Gap Property in Principal Submatrix Recovery
D. Gamarnik
Aukosh Jagannath
S. Sen
40
28
0
26 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
57
137
0
26 Jul 2019
The Landscape of the Planted Clique Problem: Dense subgraphs and the
  Overlap Gap Property
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property
D. Gamarnik
Ilias Zadik
22
38
0
15 Apr 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
41
50
0
20 Feb 2019
Algorithmic thresholds for tensor PCA
Algorithmic thresholds for tensor PCA
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
100
84
0
02 Aug 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
86
105
0
19 Jun 2018
Phase transitions in spiked matrix estimation: information-theoretic
  analysis
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
41
18
0
12 Jun 2018
Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a
  Local Search Algorithm
Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a Local Search Algorithm
D. Gamarnik
Ilias Zadik
40
22
0
14 Nov 2017
Bayesian estimation from few samples: community detection and related
  problems
Bayesian estimation from few samples: community detection and related problems
Samuel B. Hopkins
David Steurer
54
63
0
30 Sep 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
109
124
0
03 Jan 2017
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
63
74
0
18 Jul 2016
Sum-of-Squares Lower Bounds for Sparse PCA
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma
A. Wigderson
40
74
0
23 Jul 2015
Phase Transitions in Sparse PCA
Phase Transitions in Sparse PCA
T. Lesieur
Florent Krzakala
Lenka Zdeborova
88
82
0
01 Mar 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
83
136
0
22 Aug 2014
Information-theoretically Optimal Sparse PCA
Information-theoretically Optimal Sparse PCA
Y. Deshpande
Andrea Montanari
67
140
0
10 Feb 2014
Local algorithms for independent sets are half-optimal
Local algorithms for independent sets are half-optimal
Mustazee Rahman
Bálint Virág
36
90
0
03 Feb 2014
Sparse PCA via Covariance Thresholding
Sparse PCA via Covariance Thresholding
Y. Deshpande
Andrea Montanari
102
105
0
20 Nov 2013
Limits of local algorithms over sparse random graphs
Limits of local algorithms over sparse random graphs
D. Gamarnik
Madhu Sudan
57
163
0
05 Apr 2013
Computational Lower Bounds for Sparse PCA
Computational Lower Bounds for Sparse PCA
Quentin Berthet
Philippe Rigollet
66
93
0
03 Apr 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
99
326
0
06 Nov 2012
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
100
284
0
23 Feb 2012
Augmented sparse principal component analysis for high dimensional data
Augmented sparse principal component analysis for high dimensional data
D. Paul
Iain M. Johnstone
92
85
0
06 Feb 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu
Jing Lei
93
142
0
03 Feb 2012
Detection of a sparse submatrix of a high-dimensional noisy matrix
Detection of a sparse submatrix of a high-dimensional noisy matrix
C. Butucea
Yu. I. Ingster
168
125
0
05 Sep 2011
Sparse Principal Components Analysis
Sparse Principal Components Analysis
Iain M. Johnstone
A. Lu
90
212
0
28 Jan 2009
High-dimensional analysis of semidefinite relaxations for sparse
  principal components
High-dimensional analysis of semidefinite relaxations for sparse principal components
Arash A. Amini
Martin J. Wainwright
116
312
0
27 Mar 2008
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