RECAPP: Crafting a More Efficient Catalyst for Convex Optimization

17 June 2022

Papers citing "RECAPP: Crafting a More Efficient Catalyst for Convex Optimization"

7 / 7 papers shown

Title
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 44 1 0 09 Jul 2024
A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions Y. Carmon A. Jambulapati Yujia Jin Aaron Sidford 11 4 0 17 Nov 2023
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise Zijian Liu Jiawei Zhang Zhengyuan Zhou 14 12 0 14 Feb 2023
An Optimal Algorithm for Strongly Convex Min-min Optimization Alexander Gasnikov D. Kovalev Grigory Malinovsky 8 1 0 29 Dec 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey Aleksandr Beznosikov Boris Polyak Eduard A. Gorbunov D. Kovalev Alexander Gasnikov 32 31 0 29 Aug 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization D. Kovalev Alexander Gasnikov 10 15 0 11 May 2022
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014