Escaping from saddle points on Riemannian manifolds

18 June 2019

Papers citing "Escaping from saddle points on Riemannian manifolds"

11 / 11 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 75 0 0 26 Mar 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management Yi-Hu Feng Tianlin Li Tian Xie 62 0 0 26 Feb 2025
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent Benjamin Gess Sebastian Kassing Nimit Rana 40 0 0 02 Feb 2024
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 21 1 0 22 Feb 2023
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective Yuetian Luo Nicolas García Trillos 24 6 0 29 Sep 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 25 41 0 19 Sep 2022
Riemannian stochastic approximation algorithms Mohammad Reza Karimi Ya-Ping Hsieh P. Mertikopoulos Andreas Krause 29 2 0 14 Jun 2022
Understanding Riemannian Acceleration via a Proximal Extragradient Framework Jikai Jin S. Sra 14 6 0 04 Nov 2021
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization Yuetian Luo Xudong Li Anru R. Zhang 27 9 0 03 Aug 2021
Escaping Saddle Points with Compressed SGD Dmitrii Avdiukhin G. Yaroslavtsev 16 4 0 21 May 2021
First-order Methods Almost Always Avoid Saddle Points J. Lee Ioannis Panageas Georgios Piliouras Max Simchowitz Michael I. Jordan Benjamin Recht ODL 93 82 0 20 Oct 2017