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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"

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Title
Guessing Efficiently for Constrained Subspace Approximation Aditya Bhaskara S. Mahabadi Madhusudhan Reddy Pittu A. Vakilian David P. Woodruff 74 0 0 29 Apr 2025
Generalized Eigenvalue Problems with Generative Priors Zhaoqiang Liu Wen Li Junren Chen 93 2 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 116 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 106 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 23 11 0 23 Jun 2017
Correlation Clustering with Low-Rank Matrices Nate Veldt Anthony Wirth D. Gleich 59 13 0 21 Nov 2016
Pursuits in Structured Non-Convex Matrix Factorizations Rajiv Khanna Michael Tschannen Martin Jaggi 58 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