$Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure$

Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure

23 April 2019

Yan Yan

Papers citing "Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure"

10 / 10 papers shown

Title
SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge Rujun Jiang 38 0 0 19 Jul 2024
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum H. Cai Sulaiman A. Alghunaim Ali H.Sayed 43 1 0 18 Jun 2024
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 39 0 0 21 Nov 2023
Zero-Regret Performative Prediction Under Inequality Constraints Wenjing Yan Xuanyu Cao 23 6 0 22 Sep 2023
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 65 5 0 05 Dec 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 38 179 0 28 Mar 2022
Decentralized Stochastic Variance Reduced Extragradient Method Luo Luo Haishan Ye 27 7 0 01 Feb 2022
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu R. L. Jin Tianbao Yang 33 44 0 17 Jun 2020
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 58 120 0 05 Feb 2018
Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel Tony Jebara Simon Lacoste-Julien 42 70 0 25 Oct 2016