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

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

10 November 2018

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

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Title
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction Yury Demidovich Grigory Malinovsky Peter Richtárik 197 3 0 11 Mar 2024
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Mingyang Yi Bohan Wang 257 0 0 24 Jan 2024
Low-complexity subspace-descent over symmetric positive definite manifold Yogesh Darmwal K. Rajawat 361 4 0 03 May 2023
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization Zhuoran Yang Yufeng Zhang Yongxin Chen Zhaoran Wang OT 267 5 0 21 Dec 2020
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces David Martínez-Rubio 485 25 0 07 Dec 2020
Non-local Optimization: Imposing Structure on Optimization Problems by RelaxationFoundations of Genetic Algorithms (FOGA), 2020 Nils Müller Tobias Glasmachers 102 5 0 11 Nov 2020
Accelerated Algorithms for Convex and Non-Convex Optimization on ManifoldsMachine-mediated learning (ML), 2020 Lizhen Lin B. Saparbayeva M. Zhang David B. Dunson 151 6 0 18 Oct 2020
Riemannian stochastic recursive momentum method for non-convex optimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Andi Han Junbin Gao ODL 114 19 0 11 Aug 2020
Variance reduction for Riemannian non-convex optimization with batch size adaptation Andi Han Junbin Gao 137 5 0 03 Jul 2020
Convergence Analysis of Riemannian Stochastic Approximation Schemes Alain Durmus P. Jiménez Eric Moulines Salem Said Hoi-To Wai 223 10 0 27 May 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel ManifoldJournal of machine learning research (JMLR), 2020 Bokun Wang Shiqian Ma Lingzhou Xue 211 26 0 03 May 2020
From Nesterov's Estimate Sequence to Riemannian AccelerationAnnual Conference Computational Learning Theory (COLT), 2020 Kwangjun Ahn S. Sra 133 84 0 24 Jan 2020
Projection-free nonconvex stochastic optimization on Riemannian manifolds Melanie Weber S. Sra 130 17 0 09 Oct 2019
On the Convergence of SARAH and BeyondInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Bingcong Li Meng Ma G. Giannakis 173 30 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 142 14 0 07 Feb 2019
Finite-Sum Smooth Optimization with SARAH Lam M. Nguyen Marten van Dijk Dzung Phan Phuong Ha Nguyen Tsui-Wei Weng Jayant Kalagnanam 152 23 0 22 Jan 2019
SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms Zhe Wang Kaiyi Ji Yi Zhou Yingbin Liang Vahid Tarokh ODL 179 83 0 25 Oct 2018