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Train simultaneously, generalize better: Stability of gradient-based
  minimax learners

Train simultaneously, generalize better: Stability of gradient-based minimax learners

23 October 2020
Farzan Farnia
Asuman Ozdaglar
ArXivPDFHTML

Papers citing "Train simultaneously, generalize better: Stability of gradient-based minimax learners"

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
29
0
0
03 Apr 2025
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Eric Zhao
Tatjana Chavdarova
Michael I. Jordan
45
0
0
20 Feb 2025
Generalization Bounds for Label Noise Stochastic Gradient Descent
Generalization Bounds for Label Noise Stochastic Gradient Descent
Jung Eun Huh
Patrick Rebeschini
13
1
0
01 Nov 2023
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
18
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
24
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
34
1
0
07 Jul 2023
On Stability and Generalization of Bilevel Optimization Problem
Meng Ding
Ming Lei
Yunwen Lei
Di Wang
Jinhui Xu
23
0
0
03 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training
Stability Analysis and Generalization Bounds of Adversarial Training
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Jue Wang
Zhimin Luo
AAML
24
30
0
03 Oct 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
16
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
Simultaneous Transport Evolution for Minimax Equilibria on Measures
Carles Domingo-Enrich
Joan Bruna
16
3
0
14 Feb 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
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
31
100
0
16 Oct 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
53
120
0
05 Feb 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
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