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. 2401.12058
  4. Cited By
The Dimension Strikes Back with Gradients: Generalization of Gradient
  Methods in Stochastic Convex Optimization

The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization

22 January 2024
Matan Schliserman
Uri Sherman
Tomer Koren
ArXivPDFHTML

Papers citing "The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization"

2 / 2 papers shown
Title
The Sample Complexity of Gradient Descent in Stochastic Convex
  Optimization
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
Roi Livni
MLT
27
0
0
07 Apr 2024
Convex SGD: Generalization Without Early Stopping
Convex SGD: Generalization Without Early Stopping
Julien Hendrickx
A. Olshevsky
MLT
LRM
25
1
0
08 Jan 2024
1