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2206.04502
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What is a Good Metric to Study Generalization of Minimax Learners?
Neural Information Processing Systems (NeurIPS), 2022
9 June 2022
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
Jianchao Tan
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Papers citing
"What is a Good Metric to Study Generalization of Minimax Learners?"
13 / 13 papers shown
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
245
6
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
332
1
0
25 Nov 2024
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
Neural Information Processing Systems (NeurIPS), 2024
Raef Bassily
Cristóbal Guzmán
Michael Menart
175
2
0
07 Nov 2024
Towards Sharper Risk Bounds for Minimax Problems
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Bowei Zhu
Shaojie Li
Yong Liu
244
0
0
11 Oct 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
International Conference on Machine Learning (ICML), 2024
Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
AAML
218
2
0
03 May 2024
Differentially Private Worst-group Risk Minimization
Xinyu Zhou
Raef Bassily
192
4
0
29 Feb 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Neural Information Processing Systems (NeurIPS), 2023
Miaoxi Zhu
Li Shen
Bo Du
Dacheng Tao
214
9
0
31 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Neural Information Processing Systems (NeurIPS), 2023
Jiancong Xiao
Tian Ding
Zhimin Luo
AAML
229
9
0
09 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
335
3
0
18 Aug 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
Annual Conference Computational Learning Theory (COLT), 2023
Raef Bassily
Cristóbal Guzmán
Michael Menart
FedML
262
9
0
24 Feb 2023
Stability Analysis and Generalization Bounds of Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Jiancong Xiao
Yanbo Fan
Tian Ding
Jue Wang
Zhimin Luo
AAML
245
39
0
03 Oct 2022
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Siqi Zhang
Yifan Hu
Liang Zhang
Niao He
267
4
0
28 May 2022
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Neural Information Processing Systems (NeurIPS), 2020
Jiawei Zhang
Peijun Xiao
Tian Ding
Jianfeng Yao
509
115
0
29 Oct 2020
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