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

3 July 2020

Junbin Gao

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 Alain Durmus P. Jiménez Eric Moulines Salem Said 13 12 0 15 Feb 2021
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 N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,888 0 15 Sep 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 124 1,198 0 16 Aug 2016