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Stability and Generalization of Stochastic Gradient Methods for Minimax
  Problems

Stability and Generalization of Stochastic Gradient Methods for Minimax Problems

8 May 2021
Yunwen Lei
Zhenhuan Yang
Tianbao Yang
Yiming Ying
ArXivPDFHTML

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

15 / 15 papers shown
Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Sijia Zhou
Yunwen Lei
Ata Kabán
34
0
0
03 Apr 2025
Stability and Generalization of the Decentralized Stochastic Gradient
  Descent Ascent Algorithm
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Miaoxi Zhu
Li Shen
Bo Du
Dacheng Tao
26
6
0
31 Oct 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient
  Complexity in Convex Optimization
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
31
2
0
26 Oct 2023
Stability and Generalization of Stochastic Compositional Gradient
  Descent Algorithms
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Minghao Yang
Xiyuan Wei
Tianbao Yang
Yiming Ying
40
1
0
07 Jul 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A
  Kernelized Renyi's Entropy Perspective
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective
Yuxin Dong
Tieliang Gong
H. Chen
Chen Li
23
4
0
02 May 2023
On Stability and Generalization of Bilevel Optimization Problem
Meng Ding
Ming Lei
Yunwen Lei
Di Wang
Jinhui Xu
32
0
0
03 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
53
10
0
27 Sep 2022
Stability and Generalization for Markov Chain Stochastic Gradient
  Methods
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
21
18
0
16 Sep 2022
On the Role of Generalization in Transferability of Adversarial Examples
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
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
21
47
0
09 Mar 2022
Differentially Private SGDA for Minimax Problems
Differentially Private SGDA for Minimax Problems
Zhenhuan Yang
Shu Hu
Yunwen Lei
Kush R. Varshney
Siwei Lyu
Yiming Ying
36
19
0
22 Jan 2022
Stable Conformal Prediction Sets
Stable Conformal Prediction Sets
Eugène Ndiaye
35
20
0
19 Dec 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
23
13
0
19 Jul 2021
Stability of SGD: Tightness Analysis and Improved Bounds
Stability of SGD: Tightness Analysis and Improved Bounds
Yikai Zhang
Wenjia Zhang
Sammy Bald
Vamsi Pingali
Chao Chen
Mayank Goswami
MLT
21
36
0
10 Feb 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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