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Efficiently escaping saddle points on manifolds

Efficiently escaping saddle points on manifolds

10 June 2019
Christopher Criscitiello
Nicolas Boumal
ArXivPDFHTML

Papers citing "Efficiently escaping saddle points on manifolds"

7 / 7 papers shown
Title
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi-Hu Feng
Tianlin Li
Tian Xie
62
0
0
26 Feb 2025
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape
  Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
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
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Can Yaras
Peng Wang
Zhihui Zhu
Laura Balzano
Qing Qu
25
42
0
19 Sep 2022
Riemannian stochastic approximation algorithms
Riemannian stochastic approximation algorithms
Mohammad Reza Karimi
Ya-Ping Hsieh
P. Mertikopoulos
Andreas Krause
29
2
0
14 Jun 2022
Nonconvex Factorization and Manifold Formulations are Almost Equivalent
  in Low-rank Matrix Optimization
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
Yuetian Luo
Xudong Li
Anru R. Zhang
33
9
0
03 Aug 2021
Asynchronous and Parallel Distributed Pose Graph Optimization
Asynchronous and Parallel Distributed Pose Graph Optimization
Yulun Tian
Alec Koppel
Amrit Singh Bedi
Jonathan P. How
40
37
0
06 Mar 2020
Analysis of the Optimization Landscapes for Overcomplete Representation
  Learning
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Qing Qu
Yuexiang Zhai
Xiao Li
Yuqian Zhang
Zhihui Zhu
22
9
0
05 Dec 2019
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