Generalized Optimistic Methods for Convex-Concave Saddle Point Problems

19 February 2022

Papers citing "Generalized Optimistic Methods for Convex-Concave Saddle Point Problems"

8 / 8 papers shown

Title
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 17 0 0 02 May 2025
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 36 1 0 12 Oct 2024
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems Minheng Xiao Shi Bo Zhizhong Wu 28 5 0 01 Aug 2024
Beyond first-order methods for non-convex non-concave min-max optimization Abhijeet Vyas Brian Bullins 10 1 0 17 Apr 2023
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos Ali Kavis V. Cevher ODL 6 12 0 03 Nov 2022
Explicit Second-Order Min-Max Optimization Methods with Optimal Convergence Guarantee Tianyi Lin P. Mertikopoulos Michael I. Jordan 24 11 0 23 Oct 2022
Perseus: A Simple and Optimal High-Order Method for Variational Inequalities Tianyi Lin Michael I. Jordan 20 9 0 06 May 2022
High-Order Oracle Complexity of Smooth and Strongly Convex Optimization Guy Kornowski Ohad Shamir 13 8 0 13 Oct 2020