Distributed Low Rank Approximation of Implicit Functions of a Matrix

28 January 2016

Papers citing "Distributed Low Rank Approximation of Implicit Functions of a Matrix"

13 / 13 papers shown

Title
Solving Tensor Low Cycle Rank Approximation Yichuan Deng Yeqi Gao Zhao Song 80 6 0 13 Apr 2023
Dynamic Tensor Product Regression Aravind Reddy Zhao Song Licheng Zhang 97 22 0 08 Oct 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 84 6 0 04 Dec 2021
Single Pass Entrywise-Transformed Low Rank Approximation Yifei Jiang Yi Li Yiming Sun Jiaxin Wang David P. Woodruff 120 4 0 16 Jul 2021
Training (Overparametrized) Neural Networks in Near-Linear Time Jan van den Brand Binghui Peng Zhao Song Omri Weinstein ODL 91 83 0 20 Jun 2020
The Communication Complexity of Optimization Santosh Vempala Ruosong Wang David P. Woodruff 148 33 0 13 Jun 2019
Relative Error Tensor Low Rank Approximation Zhao Song David P. Woodruff Peilin Zhong 99 123 0 26 Apr 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 158 25 0 03 Nov 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
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
Improved Distributed Principal Component Analysis Maria-Florina Balcan Vandana Kanchanapally Yingyu Liang David P. Woodruff 131 149 0 25 Aug 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 97 445 0 13 Aug 2014
Principal Component Analysis and Higher Correlations for Distributed Data R. Kannan Santosh Vempala David P. Woodruff 117 87 0 10 Apr 2013