Nesterov Accelerated Shuffling Gradient Method for Convex Optimization

7 February 2022

Papers citing "Nesterov Accelerated Shuffling Gradient Method for Convex Optimization"

8 / 8 papers shown

Title
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning Xu Cai Jelena Diakonikolas 23 5 0 11 Mar 2024
Shuffling Momentum Gradient Algorithm for Convex Optimization Trang H. Tran Quoc Tran-Dinh Lam M. Nguyen 13 1 0 05 Mar 2024
High Probability Guarantees for Random Reshuffling Hengxu Yu Xiao Li 24 2 0 20 Nov 2023
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds Xu Cai Cheuk Yin Lin Jelena Diakonikolas FedML 26 5 0 21 Jun 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond Jaeyoung Cha Jaewook Lee Chulhee Yun 11 23 0 13 Mar 2023
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms Lam M. Nguyen Trang H. Tran 19 2 0 13 Jun 2022
New Convergence Aspects of Stochastic Gradient Algorithms Lam M. Nguyen Phuong Ha Nguyen Peter Richtárik K. Scheinberg Martin Takáč Marten van Dijk 18 65 0 10 Nov 2018
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 571 0 08 Dec 2012