ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1401.6978
  4. Cited By
Sparsistency and agnostic inference in sparse PCA
v1v2v3 (latest)

Sparsistency and agnostic inference in sparse PCA

27 January 2014
Jing Lei
Vincent Q. Vu
ArXiv (abs)PDFHTML

Papers citing "Sparsistency and agnostic inference in sparse PCA"

23 / 23 papers shown
Title
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
kkk-Graph: A Graph Embedding for Interpretable Time Series Clustering
Paul Boniol
Donato Tiano
Angela Bonifati
Themis Palpanas
AI4TS
100
1
0
18 Feb 2025
Sparse PCA with Oracle Property
Sparse PCA with Oracle Property
Quanquan Gu
Zhaoran Wang
Han Liu
74
29
0
28 Dec 2023
Support Recovery in Sparse PCA with Non-Random Missing Data
Support Recovery in Sparse PCA with Non-Random Missing Data
Hanbyul Lee
Qifan Song
Jean Honorio
53
0
0
03 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
144
0
0
29 Dec 2022
Meta Sparse Principal Component Analysis
Meta Sparse Principal Component Analysis
Imon Banerjee
Jean Honorio
50
0
0
18 Aug 2022
Support Recovery in Sparse PCA with Incomplete Data
Support Recovery in Sparse PCA with Incomplete Data
Hanbyul Lee
Qifan Song
Jean Honorio
70
2
0
30 May 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
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
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
64
16
0
21 May 2020
Gradient-based Sparse Principal Component Analysis with Extensions to
  Online Learning
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Yixuan Qiu
Jing Lei
Kathryn Roeder
24
11
0
19 Nov 2019
Nonparametric principal subspace regression
Nonparametric principal subspace regression
Mark Koudstaal
Dengdeng Yu
Dehan Kong
Fang Yao
15
0
0
07 Oct 2019
Low-Rank Principal Eigenmatrix Analysis
Low-Rank Principal Eigenmatrix Analysis
Krishnakumar Balasubramanian
Elynn Y. Chen
Jianqing Fan
Xiang Wu
141
0
0
28 Apr 2019
Learning Feature Sparse Principal Components
Learning Feature Sparse Principal Components
Lai Tian
Feiping Nie
Xuelong Li
114
25
0
23 Apr 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to
  High Dimension
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He
Tiefeng Jiang
Jiyang Wen
Gongjun Xu
62
11
0
17 Dec 2018
Fast Exact Conformalization of Lasso using Piecewise Linear Homotopy
Fast Exact Conformalization of Lasso using Piecewise Linear Homotopy
Jing Lei
50
35
0
01 Aug 2017
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
Approximating Sparse PCA from Incomplete Data
Approximating Sparse PCA from Incomplete Data
Abhisek Kundu
P. Drineas
M. Magdon-Ismail
72
4
0
12 Mar 2015
Phase Transitions for High Dimensional Clustering and Related Problems
Phase Transitions for High Dimensional Clustering and Related Problems
Jiashun Jin
Z. Ke
Wanjie Wang
116
52
0
24 Feb 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
Influential Feature PCA for high dimensional clustering
Influential Feature PCA for high dimensional clustering
Jiashun Jin
Wanjie Wang
170
80
0
20 Jul 2014
Do semidefinite relaxations solve sparse PCA up to the information
  limit?
Do semidefinite relaxations solve sparse PCA up to the information limit?
Robert Krauthgamer
B. Nadler
Dan Vilenchik
114
89
0
16 Jun 2013
Alternating Maximization: Unifying Framework for 8 Sparse PCA
  Formulations and Efficient Parallel Codes
Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes
Peter Richtárik
Majid Jahani
S. Ahipaşaoğlu
Martin Takáč
67
29
0
17 Dec 2012
1