Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport

18 February 2017

Papers citing "Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport"

10 / 10 papers shown

Title
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties David Martínez-Rubio Sebastian Pokutta 17 9 0 26 Nov 2022
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 28 17 0 11 Aug 2020
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 27 194 0 24 Jan 2019
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate J.N. Zhang Hongyi Zhang S. Sra 26 39 0 10 Nov 2018
McTorch, a manifold optimization library for deep learning Mayank Meghwanshi Pratik Jawanpuria Anoop Kunchukuttan Hiroyuki Kasai Bamdev Mishra AI4CE 28 41 0 03 Oct 2018
Towards Riemannian Accelerated Gradient Methods Hongyi Zhang S. Sra 19 53 0 07 Jun 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds Nilesh Tripuraneni Nicolas Flammarion Francis R. Bach Michael I. Jordan 38 99 0 26 Feb 2018
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 28 296 0 30 Aug 2017
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014