A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions

17 November 2023

Papers citing "A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions"

11 / 11 papers shown

Title
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 104 66 0 08 Feb 2023
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization D. Kovalev Alexander Gasnikov 74 31 0 19 May 2022
Making SGD Parameter-Free Y. Carmon Oliver Hinder 83 47 0 04 May 2022
Distributionally Robust Optimization via Ball Oracle Acceleration Y. Carmon Danielle Hausler 55 13 0 24 Mar 2022
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss Y. Carmon A. Jambulapati Yujia Jin Aaron Sidford 47 20 0 04 May 2021
CountSketches, Feature Hashing and the Median of Three Kasper Green Larsen Rasmus Pagh Jakub Tvetek 39 9 0 03 Feb 2021
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 62 22 0 05 Oct 2020
Variance Reduction for Matrix Games Y. Carmon Yujia Jin Aaron Sidford Kevin Tian 77 67 0 03 Jul 2019
Complexity of Highly Parallel Non-Smooth Convex Optimization Sébastien Bubeck Qijia Jiang Y. Lee Yuanzhi Li Aaron Sidford 59 56 0 25 Jun 2019
Stochastic Variance Reduction Methods for Saddle-Point Problems B. Palaniappan Francis R. Bach 137 214 0 20 May 2016
Gradient Sliding for Composite Optimization Guanghui Lan 160 68 0 04 Jun 2014