What is a Good Metric to Study Generalization of Minimax Learners?

v1v2 (latest)

What is a Good Metric to Study Generalization of Minimax Learners?

9 June 2022

Asuman Ozdaglar

ArXiv (abs)PDF HTML

Papers citing "What is a Good Metric to Study Generalization of Minimax Learners?"

12 / 12 papers shown

Title
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 86 3 0 08 Jan 2025
Exploring the Generalization Capabilities of AID-based Bi-level Optimization C. L. Philip Chen Li Shen Zhiqiang Xu Wen Liu Zhi-Quan Luo Peilin Zhao 125 1 0 25 Nov 2024
Towards Sharper Risk Bounds for Minimax Problems Bowei Zhu Shaojie Li Yong Liu 78 0 0 11 Oct 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 72 2 0 03 May 2024
Differentially Private Worst-group Risk Minimization Xinyu Zhou Raef Bassily 77 3 0 29 Feb 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu Li Shen Bo Du Dacheng Tao 76 7 0 31 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 78 7 0 09 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent Xiaoge Deng Li Shen Shengwei Li Tao Sun Dongsheng Li Dacheng Tao 85 3 0 18 Aug 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap Raef Bassily Cristóbal Guzmán Michael Menart FedML 109 8 0 24 Feb 2023
Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao Yanbo Fan Ruoyu Sun Jue Wang Zhimin Luo AAML 85 31 0 03 Oct 2022
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization Siqi Zhang Yifan Hu Liang Zhang Niao He 91 4 0 28 May 2022
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems Jiawei Zhang Peijun Xiao Ruoyu Sun Zhi-Quan Luo 128 99 0 29 Oct 2020