From Nesterov's Estimate Sequence to Riemannian Acceleration

24 January 2020

Papers citing "From Nesterov's Estimate Sequence to Riemannian Acceleration"

30 / 30 papers shown

Title
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method Andi Han Pierre-Louis Poirion Akiko Takeda 0 0 0 18 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 32 1 0 30 May 2024
Optimization without Retraction on the Random Generalized Stiefel Manifold Simon Vary Pierre Ablin Bin Gao P.-A. Absil 33 1 0 02 May 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems Zihao Hu Guanghui Wang Xi Wang Andre Wibisono Jacob D. Abernethy Molei Tao 31 4 0 25 Sep 2023
Riemannian Projection-free Online Learning Zihao Hu Guanghui Wang Jacob D. Abernethy 23 1 0 30 May 2023
Low-complexity subspace-descent over symmetric positive definite manifold Yogesh Darmwal K. Rajawat 41 3 0 03 May 2023
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints Pierre Ablin Simon Vary Bin Gao P.-A. Absil 54 7 0 29 Mar 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning Wu Lin Valentin Duruisseaux Melvin Leok Frank Nielsen Mohammad Emtiyaz Khan Mark W. Schmidt 49 7 0 20 Feb 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces Zihao Hu Guanghui Wang Jacob D. Abernethy 20 6 0 17 Feb 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
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties David Martínez-Rubio Sebastian Pokutta 12 9 0 26 Nov 2022
Rieoptax: Riemannian Optimization in JAX Saiteja Utpala Andi Han Pratik Jawanpuria Bamdev Mishra 21 3 0 10 Oct 2022
Riemannian accelerated gradient methods via extrapolation Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 13 7 0 13 Aug 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 17 1 0 19 Jul 2022
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport Lingkai Kong Yuqing Wang Molei Tao ODL 30 9 0 27 May 2022
Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm Peiyuan Zhang Junzhe Zhang S. Sra 19 8 0 13 Feb 2022
Understanding Riemannian Acceleration via a Proximal Extragradient Framework Jikai Jin S. Sra 14 6 0 04 Nov 2021
Optimization on manifolds: A symplectic approach G. Francca Alessandro Barp Mark Girolami Michael I. Jordan 24 11 0 23 Jul 2021
No-go Theorem for Acceleration in the Hyperbolic Plane Linus Hamilton Ankur Moitra 14 21 0 14 Jan 2021
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces David Martínez-Rubio 37 19 0 07 Dec 2020
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient Andi Han Junbin Gao 16 4 0 23 Oct 2020
Adaptive and Momentum Methods on Manifolds Through Trivializations Mario Lezcano Casado 6 8 0 09 Oct 2020
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold G. Chirco Luigi Malagò Giovanni Pistone 13 4 0 20 Sep 2020
Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry Mario Lezcano-Casado 13 12 0 06 Aug 2020
Momentum Accelerates Evolutionary Dynamics Marc Harper Joshua Safyan 22 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
Convergence Analysis of Riemannian Stochastic Approximation Schemes Alain Durmus P. Jiménez Eric Moulines Salem Said Hoi-To Wai 19 10 0 27 May 2020
Distributed Certifiably Correct Pose-Graph Optimization Yulun Tian Kasra Khosoussi David M. Rosen Jonathan P. How 43 69 0 09 Nov 2019
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,154 0 04 Mar 2015