Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Ibragimov, Shokhrukh, Jentzen, Arnulf, Riekert, Adrian
Format: Preprint
Published: 2022
Subjects:
Optimization and Control
65K10, 65C50, 68T05, 60H35
Online Access:https://arxiv.org/abs/2212.13111
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View
Be the first to leave a comment!
You must be logged in first

Similar Items

  • Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks
    by: Do, Thang, et al.
    Published: (2025)
  • Asymptotic stability properties and a priori bounds for Adam and other gradient descent optimization methods
    by: Dereich, Steffen, et al.
    Published: (2025)
  • Sharp higher order convergence rates for the Adam optimizer
    by: Dereich, Steffen, et al.
    Published: (2025)
  • Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates
    by: Dereich, Steffen, et al.
    Published: (2024)
  • Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation
    by: Do, Thang, et al.
    Published: (2024)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs