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Riemannian Hamiltonian methods for min-max optimization on manifolds

Riemannian Hamiltonian methods for min-max optimization on manifolds

25 April 2022
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Pawan Kumar
Junbin Gao
ArXivPDFHTML

Papers citing "Riemannian Hamiltonian methods for min-max optimization on manifolds"

12 / 12 papers shown
Title
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Andi Han
Pierre-Louis Poirion
Akiko Takeda
2
0
0
18 May 2025
Riemannian coordinate descent algorithms on matrix manifolds
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han
Pratik Jawanpuria
Bamdev Mishra
48
5
0
04 Jun 2024
A Gauss-Newton Approach for Min-Max Optimization in Generative
  Adversarial Networks
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
Neel Mishra
Bamdev Mishra
Pratik Jawanpuria
Pawan Kumar
GAN
30
1
0
10 Apr 2024
A Framework for Bilevel Optimization on Riemannian Manifolds
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Akiko Takeda
18
4
0
06 Feb 2024
Extragradient Type Methods for Riemannian Variational Inequality
  Problems
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
Curvature-Independent Last-Iterate Convergence for Games on Riemannian
  Manifolds
Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds
Yong Cai
Michael I. Jordan
Tianyi Lin
Argyris Oikonomou
Emmanouil-Vasileios Vlatakis-Gkaragkounis
30
4
0
29 Jun 2023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded
  Geometric Penalties
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
David Martínez-Rubio
Christophe Roux
Christopher Criscitiello
Sebastian Pokutta
22
6
0
25 May 2023
Nonnegative Low-Rank Tensor Completion via Dual Formulation with
  Applications to Image and Video Completion
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
Tanmay Sinha
Jayadev Naram
Pawan Kumar
31
10
0
13 May 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Xidong Wu
Zhengmian Hu
Heng Huang
25
15
0
08 Feb 2023
First-Order Algorithms for Min-Max Optimization in Geodesic Metric
  Spaces
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael I. Jordan
Tianyi Lin
Emmanouil-Vasileios Vlatakis-Gkaragkounis
29
19
0
04 Jun 2022
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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