SEGA: Variance Reduction via Gradient Sketching

9 September 2018

Papers citing "SEGA: Variance Reduction via Gradient Sketching"

7 / 7 papers shown

Title
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization Haishan Ye Yinghui Huang Hao Di Xiangyu Chang 38 0 0 13 Jan 2025
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training Lianke Qin Saayan Mitra Zhao-quan Song Yuanyuan Yang Tianyi Zhou 27 0 0 19 Nov 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification Lianke Qin Zhao-quan Song Yuanyuan Yang 20 9 0 13 Jul 2023
ALS: Augmented Lagrangian Sketching Methods for Linear Systems M. Morshed 14 0 0 12 Aug 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 17 47 0 15 Feb 2022
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems Filip Hanzely D. Kovalev Peter Richtárik 27 17 0 11 Feb 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016