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1303.0551
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Sparse PCA through Low-rank Approximations
3 March 2013
Dimitris Papailiopoulos
A. Dimakis
Stavros Korokythakis
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Papers citing
"Sparse PCA through Low-rank Approximations"
21 / 21 papers shown
Title
Guessing Efficiently for Constrained Subspace Approximation
Aditya Bhaskara
S. Mahabadi
Madhusudhan Reddy Pittu
A. Vakilian
David P. Woodruff
74
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0
29 Apr 2025
Generalized Eigenvalue Problems with Generative Priors
Zhaoqiang Liu
Wen Li
Junren Chen
93
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0
02 Nov 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging
Keqiang Fan
Xiaohao Cai
M. Niranjan
67
0
0
03 Apr 2024
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
Pengxiang Zhao
Ping Li
Yingjie Gu
Yi Zheng
Stephan Ludger Kölker
Zhefeng Wang
Xiaoming Yuan
47
1
0
22 Mar 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
Yangyang Guo
Guangzhi Wang
Mohan S. Kankanhalli
41
3
0
16 Oct 2023
Advancements in Federated Learning: Models, Methods, and Privacy
Hui Chen
Huandong Wang
Qingyue Long
Depeng Jin
Yong Li
FedML
105
16
0
22 Feb 2023
Sparse PCA: a Geometric Approach
Dimitris Bertsimas
Driss Lahlou Kitane
86
8
0
12 Oct 2022
Generative Principal Component Analysis
Zhaoqiang Liu
Jiulong Liu
Subhro Ghosh
Jun Han
Jonathan Scarlett
75
15
0
18 Mar 2022
Sparse PCA on fixed-rank matrices
Alberto Del Pia
154
6
0
07 Jan 2022
A Framework for Private Matrix Analysis
Jalaj Upadhyay
Sarvagya Upadhyay
82
4
0
06 Sep 2020
Approximation Algorithms for Sparse Principal Component Analysis
Agniva Chowdhury
P. Drineas
David P. Woodruff
Samson Zhou
136
8
0
23 Jun 2020
Learning Feature Sparse Principal Components
Lai Tian
Feiping Nie
Xuelong Li
114
26
0
23 Apr 2019
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
Vatsal Sharan
Kai Sheng Tai
Peter Bailis
Gregory Valiant
97
7
0
25 Jun 2017
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
Hemanth Venkateswara
Prasanth Lade
Binbin Lin
Jieping Ye
S. Panchanathan
18
11
0
23 Jun 2017
Correlation Clustering with Low-Rank Matrices
Nate Veldt
Anthony Wirth
D. Gleich
51
13
0
21 Nov 2016
Pursuits in Structured Non-Convex Matrix Factorizations
Rajiv Khanna
Michael Tschannen
Martin Jaggi
53
1
0
12 Feb 2016
A Randomized Rounding Algorithm for Sparse PCA
Kimon Fountoulakis
Abhisek Kundu
Eugenia-Maria Kontopoulou
P. Drineas
77
8
0
13 Aug 2015
Sparse PCA via Bipartite Matchings
Megasthenis Asteris
Dimitris Papailiopoulos
Anastasios Kyrillidis
A. Dimakis
103
27
0
04 Aug 2015
Stay on path: PCA along graph paths
Megasthenis Asteris
Anastasios Kyrillidis
A. Dimakis
Han-Gyol Yi
B. Chandrasekaran
43
6
0
08 Jun 2015
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
Michael B. Cohen
Sam Elder
Cameron Musco
Christopher Musco
Madalina Persu
155
363
0
24 Oct 2014
Alternating direction method of multipliers for penalized zero-variance discriminant analysis
Brendan P. W. Ames
Mingyi Hong
113
4
0
21 Jan 2014
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