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. 2007.01494
  4. Cited By
Variance reduction for Riemannian non-convex optimization with batch
  size adaptation

Variance reduction for Riemannian non-convex optimization with batch size adaptation

3 July 2020
Andi Han
Junbin Gao
ArXivPDFHTML

Papers citing "Variance reduction for Riemannian non-convex optimization with batch size adaptation"

4 / 4 papers shown
Title
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size
Alain Durmus
P. Jiménez
Eric Moulines
Salem Said
13
12
0
15 Feb 2021
Riemannian stochastic recursive momentum method for non-convex
  optimization
Riemannian stochastic recursive momentum method for non-convex optimization
Andi Han
Junbin Gao
ODL
20
16
0
11 Aug 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
278
2,888
0
15 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
130
1,198
0
16 Aug 2016
1