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. 1907.09547
  4. Cited By
Stochastic algorithms with geometric step decay converge linearly on
  sharp functions

Stochastic algorithms with geometric step decay converge linearly on sharp functions

22 July 2019
Damek Davis
Dmitriy Drusvyatskiy
Vasileios Charisopoulos
ArXivPDFHTML

Papers citing "Stochastic algorithms with geometric step decay converge linearly on sharp functions"

3 / 3 papers shown
Title
Asymptotic normality and optimality in nonsmooth stochastic
  approximation
Asymptotic normality and optimality in nonsmooth stochastic approximation
Damek Davis
Dmitriy Drusvyatskiy
L. Jiang
23
13
0
16 Jan 2023
On Learning Rates and Schrödinger Operators
On Learning Rates and Schrödinger Operators
Bin Shi
Weijie J. Su
Michael I. Jordan
34
60
0
15 Apr 2020
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
79
317
0
18 Feb 2014
1