ResearchTrend.AI
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
v1v2 (latest)

First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces

Michael I. Jordan
Tianyi Lin
Emmanouil-Vasileios Vlatakis-Gkaragkounis
ArXiv (abs)PDFHTML

Papers citing "First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces"

5 / 5 papers shown
Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan
Fangyuan Xie
Feiping Nie
Xuelong Li
143
0
0
26 Mar 2025
A Framework for Bilevel Optimization on Riemannian Manifolds
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Akiko Takeda
81
5
0
06 Feb 2024
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Xidong Wu
Zhengmian Hu
Heng Huang
112
15
0
08 Feb 2023
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
David Martínez-Rubio
Sebastian Pokutta
80
10
0
26 Nov 2022
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
Lingkai Kong
Yuqing Wang
Molei Tao
ODL
67
9
0
27 May 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.