High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise

17 August 2022

Papers citing "High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise"

7 / 7 papers shown

Title
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees Aleksandar Armacki Shuhua Yu Pranay Sharma Gauri Joshi Dragana Bajović D. Jakovetić S. Kar 55 2 0 17 Oct 2024
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates Puning Zhao Jiafei Wu Zhe Liu Chong Wang Rongfei Fan Qingming Li 40 1 0 19 Aug 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent Khaled Eldowa Andrea Paudice 14 4 0 12 Dec 2023
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise Aleksandar Armacki Pranay Sharma Gauri Joshi Dragana Bajović D. Jakovetić S. Kar 28 5 0 28 Oct 2023
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation Zijian Liu Zhengyuan Zhou 22 10 0 22 Mar 2023
High Probability Convergence of Stochastic Gradient Methods Zijian Liu Ta Duy Nguyen Thien Hai Nguyen Alina Ene Huy Le Nguyen 11 37 0 28 Feb 2023
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 570 0 08 Dec 2012