No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization

22 November 2021

Papers citing "No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization"

10 / 10 papers shown

Title
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 25 0 0 02 May 2025
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 30 0 0 23 Jul 2024
Dealing with unbounded gradients in stochastic saddle-point optimization Gergely Neu Nneka Okolo 37 3 0 21 Feb 2024
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
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 18 2 0 06 Jan 2023
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 32 7 0 18 Oct 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out Jun-Kun Wang Chi-Heng Lin Andre Wibisono Bin Hu 29 20 0 22 Jun 2022
Acceleration Methods Alexandre d’Aspremont Damien Scieur Adrien B. Taylor 149 119 0 23 Jan 2021
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 105 1,152 0 04 Mar 2015
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization Dan Garber Elad Hazan 58 94 0 20 Jan 2013