Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning

23 November 2021

Papers citing "Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning"

9 / 9 papers shown

Title
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 50 1 0 07 Jul 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective Yuxin Dong Tieliang Gong Hao Chen Chen Li 23 4 0 02 May 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 49 8 0 26 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 32 1 0 03 Oct 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 24 18 0 16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 51 5 0 09 Sep 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 48 179 0 28 Mar 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016
Learning Theory Approach to Minimum Error Entropy Criterion Ting Hu Jun Fan Qiang Wu Ding-Xuan Zhou 45 82 0 03 Aug 2012