Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

4 June 2024

Papers citing "Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds"

12 / 12 papers shown

Title
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 91 64 0 08 Feb 2023
Making SGD Parameter-Free Y. Carmon Oliver Hinder 80 46 0 04 May 2022
From Nesterov's Estimate Sequence to Riemannian Acceleration Kwangjun Ahn S. Sra 68 76 0 24 Jan 2020
Riemannian Adaptive Optimization Methods Gary Bécigneul O. Ganea ODL 97 258 0 01 Oct 2018
Towards Riemannian Accelerated Gradient Methods Hongyi Zhang S. Sra 52 53 0 07 Jun 2018
Representation Tradeoffs for Hyperbolic Embeddings Christopher De Sa Albert Gu Christopher Ré Frederic Sala 213 413 0 10 Apr 2018
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 90 1,308 0 22 May 2017
Riemannian stochastic variance reduced gradient on Grassmann manifold Hiroyuki Kasai Hiroyuki Sato Bamdev Mishra 95 21 0 24 May 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds Hongyi Zhang Sashank J. Reddi S. Sra 102 241 0 23 May 2016
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation James Townsend Niklas Koep S. Weichwald 73 248 0 10 Mar 2016
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method Ju Sun Qing Qu John N. Wright 37 147 0 15 Nov 2015
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 78 89 0 09 Nov 2012