Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Xiyuan, Li, Qia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)
by: Li, Qia, et al.
Published: (2024)
A min-max reformulation and proximal algorithms for a class of structured nonsmooth fractional optimization problems
by: Zhou, Junpeng, et al.
Published: (2025)
by: Zhou, Junpeng, et al.
Published: (2025)
Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)
by: Gao, Yan, et al.
Published: (2025)
Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)
by: Marumo, Naoki
Published: (2025)
Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints
by: Xie, Lijun, et al.
Published: (2025)
by: Xie, Lijun, et al.
Published: (2025)
MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
by: Li, Luxuan, et al.
Published: (2026)
by: Li, Luxuan, et al.
Published: (2026)
Tight Error Bounds for the Sign-Constrained Stiefel Manifold
by: Chen, Xiaojun, et al.
Published: (2022)
by: Chen, Xiaojun, et al.
Published: (2022)
Riemannian Trust Region Methods for SC$^1$ Minimization
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
by: Chen, Jian, et al.
Published: (2026)
by: Chen, Jian, et al.
Published: (2026)
A Stochastic Implicit Proximal Point Algorithm for Solving Linearly Constrained Stochastic Minimax Problems
by: Zhu, Kehan, et al.
Published: (2026)
by: Zhu, Kehan, et al.
Published: (2026)
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates
by: Brosch, Daniel, et al.
Published: (2025)
by: Brosch, Daniel, et al.
Published: (2025)
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)
by: Marumo, Naoki, et al.
Published: (2023)
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
Heavy-ball Differential Equation Achieves $O(\varepsilon^{-7/4})$ Convergence for Nonconvex Functions
by: Okamura, Kaito, et al.
Published: (2024)
by: Okamura, Kaito, et al.
Published: (2024)
AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
by: Krejić, Nataša, et al.
Published: (2025)
by: Krejić, Nataša, et al.
Published: (2025)
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
by: Wang, Jun-Lin, et al.
Published: (2024)
by: Wang, Jun-Lin, et al.
Published: (2024)
A General Recipe for Parameter-Free Nonconvex Optimization via Higher-Order Regularization
by: Marumo, Naoki, et al.
Published: (2026)
by: Marumo, Naoki, et al.
Published: (2026)
Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
by: Dolgopolik, M. V.
Published: (2021)
by: Dolgopolik, M. V.
Published: (2021)
Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)
by: Pérez-Aros, Pedro, et al.
Published: (2025)
A modified exact penalty approach for general constrained $\ell_0$-sparse optimization problems
by: Kanzow, Christian, et al.
Published: (2025)
by: Kanzow, Christian, et al.
Published: (2025)
An Augmented Lagrangian Method for Training Recurrent Neural Networks
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
by: Lin, Yizun, et al.
Published: (2023)
by: Lin, Yizun, et al.
Published: (2023)
A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization
by: Hong, Tenglong, et al.
Published: (2026)
by: Hong, Tenglong, et al.
Published: (2026)
Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems
by: Hu, Yaling, et al.
Published: (2026)
by: Hu, Yaling, et al.
Published: (2026)
A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions
by: Bao, Chenglong, et al.
Published: (2025)
by: Bao, Chenglong, et al.
Published: (2025)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs
by: Kannan, Rohit, et al.
Published: (2022)
by: Kannan, Rohit, et al.
Published: (2022)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Bounding-Focused Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs
by: Turan, Evren M., et al.
Published: (2023)
by: Turan, Evren M., et al.
Published: (2023)
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
An Inexact Proximal Newton Method for Nonconvex Composite Minimization
by: Zhu, Hong
Published: (2024)
by: Zhu, Hong
Published: (2024)
Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization
by: Takahashi, Shota, et al.
Published: (2023)
by: Takahashi, Shota, et al.
Published: (2023)
A MINRES-based Linesearch Algorithm for Nonconvex Optimization with Non-positive Curvature Detection
by: Zeng, Hanfeng, et al.
Published: (2026)
by: Zeng, Hanfeng, et al.
Published: (2026)
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
by: Engquist, Björn, et al.
Published: (2022)
by: Engquist, Björn, et al.
Published: (2022)
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)
by: Bai, Xiaoning, et al.
Published: (2024)
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025)
by: Takahashi, Shota, et al.
Published: (2025)
Similar Items
-
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026) -
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024) -
Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024) -
A min-max reformulation and proximal algorithms for a class of structured nonsmooth fractional optimization problems
by: Zhou, Junpeng, et al.
Published: (2025) -
Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)