Stability and Generalization of Stochastic Gradient Methods for Minimax
Problems

Stability and Generalization of Stochastic Gradient Methods for Minimax Problems

8 May 2021

Papers citing "Stability and Generalization of Stochastic Gradient Methods for Minimax Problems"

11 / 11 papers shown

Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis Sijia Zhou Yunwen Lei Ata Kabán 29 0 0 03 Apr 2025
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization Liang Zhang Junchi Yang Amin Karbasi Niao He 13 2 0 26 Oct 2023
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 27 1 0 07 Jul 2023
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 16 0 0 03 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 29 10 0 27 Sep 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 11 18 0 16 Sep 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 24 10 0 18 Jun 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 19 46 0 09 Mar 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 20 19 0 22 Jan 2022
Stable Conformal Prediction Sets Eugène Ndiaye 12 20 0 19 Dec 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016