Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1409.8565
Cited By
Sparse CCA: Adaptive Estimation and Computational Barriers
30 September 2014
Chao Gao
Zongming Ma
Harrison H. Zhou
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Sparse CCA: Adaptive Estimation and Computational Barriers"
23 / 23 papers shown
Title
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization
Zhenyu Wang
Molei Liu
Jing Lei
Francis Bach
Zijian Guo
35
0
0
02 May 2025
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
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg
Jeremias Sulam
11
0
0
08 Feb 2022
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
Andrew D. McRae
J. Romberg
Mark A. Davenport
25
8
0
08 Nov 2021
Inferring Hidden Structures in Random Graphs
Wasim Huleihel
14
7
0
05 Oct 2021
Random Subgraph Detection Using Queries
Wasim Huleihel
A. Mazumdar
S. Pal
23
6
0
02 Oct 2021
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha
Rajarshi Mukherjee
23
4
0
14 Aug 2021
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
25
14
0
21 May 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
24
44
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
19
85
0
16 May 2020
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
15
50
0
20 Feb 2019
Universality of Computational Lower Bounds for Submatrix Detection
Matthew Brennan
Guy Bresler
Wasim Huleihel
24
26
0
19 Feb 2019
High-Temperature Structure Detection in Ferromagnets
Yuan Cao
Matey Neykov
Han Liu
14
10
0
21 Sep 2018
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
21
166
0
08 Mar 2017
The use of deep learning in image segmentation, classification and detection
Mihai-Sorin Badea
Iulian-Ionut Felea
L. Florea
C. Vertan
39
20
0
31 May 2016
Blind Modulation Classification based on MLP and PNN
Harishchandra Dubey
Nandita
A. K. Tiwari
14
11
0
30 May 2016
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow
Kean Ming Tan
Zhaoran Wang
Han Liu
Tong Zhang
15
57
0
29 Apr 2016
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma
Y. Lu
Dean Phillips Foster
38
83
0
26 Jun 2015
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai
Xiaodong Li
Zongming Ma
16
232
0
10 Jun 2015
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet
J. Ellenberg
27
6
0
21 Feb 2015
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
56
136
0
22 Aug 2014
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
119
379
0
11 Jul 2010
A greedy approach to sparse canonical correlation analysis
A. Wiesel
M. Kliger
Alfred Hero
106
41
0
17 Jan 2008
1