Towards Riemannian Accelerated Gradient Methods

7 June 2018

Papers citing "Towards Riemannian Accelerated Gradient Methods"

21 / 21 papers shown

Title
Accelerated Markov Chain Monte Carlo Algorithms on Discrete States Bohan Zhou Shu Liu Xinzhe Zuo Wuchen Li 7 0 0 19 May 2025
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds Daniel Dodd Louis Sharrock Christopher Nemeth 41 0 0 04 Jun 2024
Quantitative Convergences of Lie Group Momentum Optimizers Lingkai Kong Molei Tao 38 2 0 30 May 2024
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Mingyang Yi Bohan Wang 32 0 0 24 Jan 2024
Geodesically convex $M$ -estimation in metric spaces Victor-Emmanuel Brunel 20 1 0 05 May 2023
Concentration of empirical barycenters in metric spaces Victor-Emmanuel Brunel Jordan Serres 18 5 0 02 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 23 1 0 19 Jul 2022
Accelerated Multiplicative Weights Update Avoids Saddle Points almost always Yi-Hu Feng Ioannis Panageas Tianlin Li 11 2 0 25 Apr 2022
Fast and accurate optimization on the orthogonal manifold without retraction Pierre Ablin Gabriel Peyré 59 27 0 15 Feb 2021
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient Andi Han Junbin Gao 22 5 0 23 Oct 2020
Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds Lizhen Lin B. Saparbayeva M. Zhang David B. Dunson 20 7 0 18 Oct 2020
Momentum Accelerates Evolutionary Dynamics Marc Harper Joshua Safyan 28 2 0 05 Jul 2020
Variance reduction for Riemannian non-convex optimization with batch size adaptation Andi Han Junbin Gao 21 5 0 03 Jul 2020
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems Molei Tao T. Ohsawa DRL 8 17 0 27 Jan 2020
Trivializations for Gradient-Based Optimization on Manifolds Mario Lezcano Casado 16 122 0 20 Sep 2019
Accelerated Information Gradient flow Yifei Wang Wuchen Li 23 56 0 04 Sep 2019
Solving general elliptical mixture models through an approximate Wasserstein manifold Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic 21 3 0 09 Jun 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
Riemannian Adaptive Optimization Methods Gary Bécigneul O. Ganea ODL 22 249 0 01 Oct 2018
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,157 0 04 Mar 2015