ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.07142
  4. Cited By
General Tail Bounds for Non-Smooth Stochastic Mirror Descent

General Tail Bounds for Non-Smooth Stochastic Mirror Descent

12 December 2023
Khaled Eldowa
Andrea Paudice
ArXivPDFHTML

Papers citing "General Tail Bounds for Non-Smooth Stochastic Mirror Descent"

4 / 4 papers shown
Title
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees
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
57
2
0
17 Oct 2024
Differential Private Stochastic Optimization with Heavy-tailed Data:
  Towards Optimal Rates
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao
Xiaogang Xu
Zhe Liu
Chong Wang
Rongfei Fan
Qingming Li
48
1
0
19 Aug 2024
High-probability Convergence Bounds for Nonlinear Stochastic Gradient
  Descent Under Heavy-tailed Noise
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
39
5
0
28 Oct 2023
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
571
0
08 Dec 2012
1