Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition

20 July 2016

Papers citing "Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition"

9 / 9 papers shown

Title
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems C. J. Li Michael I. Jordan 37 2 0 29 Dec 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis Zihang Meng Rudrasis Chakraborty Vikas Singh 9 9 0 08 Jun 2021
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data Charilaos I. Kanatsoulis Xiao Fu N. Sidiropoulos Mingyi Hong 32 35 0 24 Apr 2018
Accelerated Stochastic Power Iteration Christopher De Sa Bryan D. He Ioannis Mitliagkas Christopher Ré Peng Xu 43 89 0 10 Jul 2017
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter Zeyuan Allen-Zhu 23 80 0 02 Feb 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU Zeyuan Allen-Zhu Yuanzhi Li 22 44 0 06 Jan 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation Zeyuan Allen-Zhu Yuanzhi Li 19 20 0 16 Aug 2016
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain Zeyuan Allen-Zhu Yuanzhi Li 36 129 0 12 Jul 2016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods Zeyuan Allen-Zhu ODL 23 577 0 18 Mar 2016