Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study

16 May 2025

Papers citing "Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study"

9 / 9 papers shown

Title
Deterministic Nonsmooth Nonconvex Optimization Michael I. Jordan Guy Kornowski Tianyi Lin Ohad Shamir Manolis Zampetakis 135 26 0 16 Feb 2023
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 118 496 0 15 Dec 2022
SVRG Meets AdaGrad: Painless Variance Reduction Benjamin Dubois-Taine Sharan Vaswani Reza Babanezhad Mark Schmidt Simon Lacoste-Julien 61 18 0 18 Feb 2021
Lower Bounds for Non-Convex Stochastic Optimization Yossi Arjevani Y. Carmon John C. Duchi Dylan J. Foster Nathan Srebro Blake E. Woodworth 111 362 0 05 Dec 2019
Momentum-Based Variance Reduction in Non-Convex SGD Ashok Cutkosky Francesco Orabona ODL 98 410 0 24 May 2019
A deep matrix factorization method for learning attribute representations George Trigeorgis Konstantinos Bousmalis Stefanos Zafeiriou Bjoern W. Schuller 70 295 0 10 Sep 2015
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives Zeyuan Allen-Zhu Yang Yuan 103 199 0 05 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 139 1,830 0 01 Jul 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 198 1,033 0 10 Sep 2012