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R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with
  Curvature Independent Rate

R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate

10 November 2018
Junzhe Zhang
Hongyi Zhang
S. Sra
ArXivPDFHTML

Papers citing "R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate"

18 / 18 papers shown
Title
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization
  with Loopless Variance Reduction
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction
Yury Demidovich
Grigory Malinovsky
Peter Richtárik
56
2
0
11 Mar 2024
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein
  Probabilistic Space
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi
Bohan Wang
24
0
0
24 Jan 2024
Low-complexity subspace-descent over symmetric positive definite
  manifold
Low-complexity subspace-descent over symmetric positive definite manifold
Yogesh Darmwal
K. Rajawat
39
2
0
03 May 2023
Variational Transport: A Convergent Particle-BasedAlgorithm for
  Distributional Optimization
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
Zhuoran Yang
Yufeng Zhang
Yongxin Chen
Zhaoran Wang
OT
30
5
0
21 Dec 2020
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces
David Martínez-Rubio
32
19
0
07 Dec 2020
Non-local Optimization: Imposing Structure on Optimization Problems by
  Relaxation
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
Nils Müller
Tobias Glasmachers
13
5
0
11 Nov 2020
Accelerated Algorithms for Convex and Non-Convex Optimization on
  Manifolds
Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Lizhen Lin
B. Saparbayeva
M. Zhang
David B. Dunson
12
7
0
18 Oct 2020
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
Variance reduction for Riemannian non-convex optimization with batch
  size adaptation
Variance reduction for Riemannian non-convex optimization with batch size adaptation
Andi Han
Junbin Gao
19
5
0
03 Jul 2020
Convergence Analysis of Riemannian Stochastic Approximation Schemes
Convergence Analysis of Riemannian Stochastic Approximation Schemes
Alain Durmus
P. Jiménez
Eric Moulines
Salem Said
Hoi-To Wai
19
10
0
27 May 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang
Shiqian Ma
Lingzhou Xue
21
18
0
03 May 2020
From Nesterov's Estimate Sequence to Riemannian Acceleration
From Nesterov's Estimate Sequence to Riemannian Acceleration
Kwangjun Ahn
S. Sra
14
72
0
24 Jan 2020
Projection-free nonconvex stochastic optimization on Riemannian
  manifolds
Projection-free nonconvex stochastic optimization on Riemannian manifolds
Melanie Weber
S. Sra
27
17
0
09 Oct 2019
On the Convergence of SARAH and Beyond
On the Convergence of SARAH and Beyond
Bingcong Li
Meng Ma
G. Giannakis
22
25
0
05 Jun 2019
Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization
Yi Zhou
Zhe Wang
Kaiyi Ji
Yingbin Liang
Vahid Tarokh
ODL
33
14
0
07 Feb 2019
Finite-Sum Smooth Optimization with SARAH
Finite-Sum Smooth Optimization with SARAH
Lam M. Nguyen
Marten van Dijk
Dzung Phan
Phuong Ha Nguyen
Tsui-Wei Weng
Jayant Kalagnanam
28
22
0
22 Jan 2019
SpiderBoost and Momentum: Faster Stochastic Variance Reduction
  Algorithms
SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms
Zhe Wang
Kaiyi Ji
Yi Zhou
Yingbin Liang
Vahid Tarokh
ODL
27
81
0
25 Oct 2018
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
84
736
0
19 Mar 2014
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