Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU

6 January 2017

Papers citing "Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU"

9 / 9 papers shown

Title
Decentralized Sum-of-Nonconvex Optimization Zhuanghua Liu K. H. Low 21 0 0 04 Feb 2024
Dynamic Subspace Estimation with Grassmannian Geodesics Cameron J. Blocker Haroon Raja Jeffrey A. Fessler Laura Balzano 38 4 0 26 Mar 2023
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization Dan Garber Atara Kaplan 21 4 0 18 Dec 2020
A Rank-1 Sketch for Matrix Multiplicative Weights Y. Carmon John C. Duchi Aaron Sidford Kevin Tian 11 25 0 07 Mar 2019
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 72 1,448 0 09 Nov 2018
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex Optimization Zeyuan Allen-Zhu ODL 49 52 0 12 Feb 2018
Neon2: Finding Local Minima via First-Order Oracles Zeyuan Allen-Zhu Yuanzhi Li 21 130 0 17 Nov 2017
Natasha 2: Faster Non-Convex Optimization Than SGD Zeyuan Allen-Zhu ODL 28 245 0 29 Aug 2017
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter Zeyuan Allen-Zhu 23 80 0 02 Feb 2017