Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization

19 February 2018

Papers citing "Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization"

5 / 5 papers shown

Title
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods Han Nguyen Hai Pham Sashank J. Reddi Barnabás Póczos ODL AI4CE 17 2 0 08 Nov 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 16 18 0 16 Sep 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 20 13 0 19 Jul 2021
Stagewise Training Accelerates Convergence of Testing Error Over SGD Zhuoning Yuan Yan Yan R. L. Jin Tianbao Yang 47 11 0 10 Dec 2018
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