Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities

17 July 2020

Papers citing "Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities"

6 / 6 papers shown

Title
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 26 20 0 16 Oct 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization Kfir Y. Levy Kfir Y. Levy FedML 43 2 0 09 Apr 2023
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos Ali Kavis V. Cevher ODL 21 12 0 03 Nov 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey Aleksandr Beznosikov Boris Polyak Eduard A. Gorbunov D. Kovalev Alexander Gasnikov 39 31 0 29 Aug 2022
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize Ali Kavis Kfir Y. Levy V. Cevher 17 38 0 06 Apr 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence Alina Ene Huy Le Nguyen 14 13 0 15 Oct 2020