Stability and Generalization for Markov Chain Stochastic Gradient Methods

16 September 2022

Papers citing "Stability and Generalization for Markov Chain Stochastic Gradient Methods"

9 / 9 papers shown

Title
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 48 0 0 03 May 2024
Stochastic optimization with arbitrary recurrent data sampling William G. Powell Hanbaek Lyu 37 0 0 15 Jan 2024
Markov Chain Mirror Descent On Data Federation Yawei Zhao FedML 18 1 0 26 Sep 2023
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 40 1 0 07 Jul 2023
A Central Limit Theorem for Algorithmic Estimator of Saddle Point Abhishek Roy Yian Ma 28 1 0 09 Jun 2023
A Novel Black Box Process Quality Optimization Approach based on Hit Rate Yang Yang Jian Wu Xiangman Song Derun Wu Lijie Su L. Tang 21 0 0 31 May 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 41 14 0 25 May 2023
Stochastic Gradient Descent under Markovian Sampling Schemes Mathieu Even 11 28 0 28 Feb 2023
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning Jiahuan Wang Jun Chen H. Chen Bin Gu Weifu Li Xinwei Tang MLT 22 2 0 20 Feb 2023