Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization

15 May 2019

Papers citing "Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization"

9 / 9 papers shown

Title
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 31 2 0 28 Sep 2024
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems Yanjie Zhong Jiaqi Li Soumendra Lahiri 22 1 0 29 Jan 2024
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 25 4 0 20 Jul 2023
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise Zijian Liu Jiawei Zhang Zhengyuan Zhou 25 12 0 14 Feb 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models Shujian Zhang Chengyue Gong Xingchao Liu RALM 32 6 0 02 Nov 2022
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima Zixiang Chen Dongruo Zhou Quanquan Gu 25 1 0 25 Oct 2021
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 20 16 0 11 Aug 2020
Better Theory for SGD in the Nonconvex World Ahmed Khaled Peter Richtárik 11 178 0 09 Feb 2020
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014