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Principal Component Analysis and Higher Correlations for Distributed Data

10 April 2013

Papers citing "Principal Component Analysis and Higher Correlations for Distributed Data"

23 / 23 papers shown

Title
Distributed Principal Component Analysis with Limited Communication Foivos Alimisis Peter Davies Bart Vandereycken Dan Alistarh 80 12 0 27 Oct 2021
Oblivious sketching for logistic regression Alexander Munteanu Simon Omlor David P. Woodruff UQCV 85 18 0 14 Jul 2021
Faster Randomized Methods for Orthogonality Constrained Problems B. Shustin H. Avron 55 2 0 22 Jun 2021
Distributed Banach-Picard Iteration: Application to Distributed EM and Distributed PCA Francisco Andrade Mário A. T. Figueiredo J. Xavier 43 12 0 20 Jun 2021
Communication-efficient distributed eigenspace estimation Vasileios Charisopoulos Austin R. Benson Anil Damle 47 10 0 05 Sep 2020
The Communication Complexity of Optimization Santosh Vempala Ruosong Wang David P. Woodruff 148 33 0 13 Jun 2019
Communication and Memory Efficient Testing of Discrete Distributions Ilias Diakonikolas Themis Gouleakis D. Kane Sankeerth Rao 76 26 0 11 Jun 2019
Online Distributed Estimation of Principal Eigenspaces Davoud Ataee Tarzanagh Mohamad Kazem Shirani Faradonbeh George Michailidis 54 2 0 17 May 2019
Robust Coreset Construction for Distributed Machine Learning Hanlin Lu Ming-Ju Li T. He Shiqiang Wang Vijay Narayanan Kevin S. Chan OOD 83 25 0 11 Apr 2019
Relative Error Tensor Low Rank Approximation Zhao Song David P. Woodruff Peilin Zhong 99 123 0 26 Apr 2017
Distributed Estimation of Principal Eigenspaces Jianqing Fan Dong Wang Kaizheng Wang Ziwei Zhu 102 166 0 21 Feb 2017
$Low Rank Approximation with Entrywise $\ell_1$-Norm Error$ Low Rank Approximation with Entrywise $\ell_1$ -Norm Error Zhao Song David P. Woodruff Peilin Zhong 163 25 0 03 Nov 2016
Distributed Low Rank Approximation of Implicit Functions of a Matrix David P. Woodruff Peilin Zhong 87 32 0 28 Jan 2016
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality M. Braverman A. Garg Tengyu Ma Huy Le Nguyen David P. Woodruff FedML 117 175 0 24 Jun 2015
Random projections for Bayesian regression Leo N. Geppert K. Ickstadt Alexander Munteanu Jens Quedenfeld C. Sohler 90 46 0 23 Apr 2015
Communication Efficient Distributed Kernel Principal Component Analysis Maria-Florina Balcan Yingyu Liang Le Song David P. Woodruff Bo Xie 77 14 0 23 Mar 2015
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds Yuchen Zhang Martin J. Wainwright Michael I. Jordan 73 23 0 05 Feb 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
Improved Distributed Principal Component Analysis Maria-Florina Balcan Vandana Kanchanapally Yingyu Liang David P. Woodruff 131 149 0 25 Aug 2014
Optimal CUR Matrix Decompositions Christos Boutsidis David P. Woodruff 130 188 0 30 May 2014
Online Tensor Methods for Learning Latent Variable Models Furong Huang U. Niranjan Mohammad Umar Hakeem Anima Anandkumar 166 54 0 03 Sep 2013
Distributed k-Means and k-Median Clustering on General Topologies Maria-Florina Balcan Steven Ehrlich Yingyu Liang 212 124 0 03 Jun 2013
Near-optimal Coresets For Least-Squares Regression Christos Boutsidis P. Drineas M. Magdon-Ismail 155 80 0 16 Feb 2012