Revisiting the Nystrom Method for Improved Large-Scale Machine Learning

7 March 2013

Papers citing "Revisiting the Nystrom Method for Improved Large-Scale Machine Learning"

19 / 19 papers shown

Title
A Dual Basis Approach for Structured Robust Euclidean Distance Geometry Chandra Kundu Abiy Tasissa HanQin Cai 26 0 0 23 May 2025
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation Ninh Pham Rasmus Pagh 103 0 0 13 May 2025
Structured Sampling for Robust Euclidean Distance Geometry Chandra Kundu Abiy Tasissa HanQin Cai 111 1 0 14 Dec 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin Shangqian Gao James Seale Smith Abhishek Patel Shikhar Tuli Yilin Shen Hongxia Jin Yen-Chang Hsu 95 10 0 19 Aug 2024
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method Qinghua Tao F. Tonin Alex Lambert Yingyi Chen Panagiotis Patrinos Johan A. K. Suykens 76 1 0 13 Jun 2024
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning Michal Dereziñski Christopher Musco Jiaming Yang 75 2 0 09 May 2024
How to be Fair and Diverse? L. E. Celis Amit Deshpande Tarun Kathuria Nisheeth K. Vishnoi FaML 56 80 0 23 Oct 2016
Matrix Coherence and the Nystrom Method Ameet Talwalkar Afshin Rostamizadeh 116 88 0 09 Aug 2014
A Statistical Perspective on Algorithmic Leveraging Ping Ma Michael W. Mahoney Bin Yu 45 347 0 23 Jun 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 116 282 0 09 Aug 2012
Stochastic Low-Rank Kernel Learning for Regression Pierre Machart Thomas Peel L. Ralaivola S. Anthoine H. Glotin BDL 50 10 0 11 Jan 2012
Improved Bound for the Nystrom's Method and its Application to Kernel Classification Rong Jin Tianbao Yang M. Mahdavi Yu-Feng Li Zhi Zhou 74 61 0 09 Nov 2011
Fast approximation of matrix coherence and statistical leverage P. Drineas M. Magdon-Ismail Michael W. Mahoney David P. Woodruff 129 531 0 18 Sep 2011
Localization on low-order eigenvectors of data matrices Mihai Cucuringu Michael W. Mahoney 63 30 0 07 Sep 2011
Spectral approximations in machine learning D. Homrighausen D. McDonald 52 2 0 21 Jul 2011
Distributed Matrix Completion and Robust Factorization Lester W. Mackey Ameet Talwalkar Michael I. Jordan 76 199 0 05 Jul 2011
Algorithmic and Statistical Perspectives on Large-Scale Data Analysis Michael W. Mahoney 79 28 0 08 Oct 2010
On landmark selection and sampling in high-dimensional data analysis M. Belabbas P. Wolfe 59 34 0 24 Jun 2009
A randomized algorithm for principal component analysis V. Rokhlin Arthur Szlam M. Tygert 71 429 0 12 Sep 2008