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. 1510.04822
  4. Cited By
SGD with Variance Reduction beyond Empirical Risk Minimization

SGD with Variance Reduction beyond Empirical Risk Minimization

16 October 2015
M. Achab
Agathe Guilloux
Stéphane Gaïffas
Emmanuel Bacry
ArXivPDFHTML

Papers citing "SGD with Variance Reduction beyond Empirical Risk Minimization"

3 / 3 papers shown
Title
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Yexiong Lin
Yu Yao
Yuxuan Du
Jun Yu
Bo Han
Biwei Huang
Tongliang Liu
NoLa
53
3
0
30 Jan 2022
Stochastic Optimization with Variance Reduction for Infinite Datasets
  with Finite-Sum Structure
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
A. Bietti
Julien Mairal
47
36
0
04 Oct 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
1