Cover Image

Accelerated Primal-Dual Proximal Gradient Splitting Methods for Convex-Concave Saddle-Point Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Luo, Hao
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generalized Primal-Dual Correction Method for Saddle-Point Problems with a Nonlinear Coupling Operator
by: Wang, Sai, et al.
Published: (2023)

Iterative Proximal-Minimization for Computing Saddle Points with Fixed Index
by: Gu, Shuting, et al.
Published: (2025)

Adaptive Proximal Gradient Method for Convex Optimization
by: Malitsky, Yura, et al.
Published: (2023)

A Primal-dual Forward-backward Splitting Method for Cross-diffusion Gradient Flows with General Mobility Matrices
by: Deng, Yunhong, et al.
Published: (2025)

A Benamou-Brenier Proximal Splitting Method for Constrained Unbalanced Optimal Transport
by: Nishino, Mao, et al.
Published: (2025)

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
by: Melcher, Cody, et al.
Published: (2025)

A Framework for the Solution of Tree-Coupled Saddle-Point Systems
by: Hansknecht, Christoph, et al.
Published: (2024)

Consensus-Based Optimization for Saddle Point Problems
by: Huang, Hui, et al.
Published: (2022)

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points
by: Li, Dongyue, et al.
Published: (2026)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
by: Liu, Shu, et al.
Published: (2024)

Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds
by: Bergmann, Ronny, et al.
Published: (2019)

Primal-Dual algorithms for Abstract convex functions with respect to quadratic functions
by: Bednarczuk, Ewa, et al.
Published: (2026)

Robust Accelerated Primal-Dual Methods for Computing Saddle Points
by: Zhang, Xuan, et al.
Published: (2021)

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm
by: Rotaru, Teodor, et al.
Published: (2025)

Properties of Fixed Points of Generalised Extra Gradient Methods Applied to Min-Max Problems
by: Farzin, Amir Ali, et al.
Published: (2025)

Dynamic Proximal Gradient Algorithms for Schatten-$p$ Quasi-Norm Regularized Problems
by: Shen, Weiping, et al.
Published: (2026)

Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation
by: Jiang, Jiahua, et al.
Published: (2026)

A Derivative-Free Saddle-search Algorithm With Linear Convergence Rate
by: Du, Qiang, et al.
Published: (2026)

Primal-dual algorithm for weakly convex functions under sharpness conditions
by: Bednarczuk, Ewa, et al.
Published: (2024)

A DC-Reformulation for Gradient-$L^0$-Constrained Problems
by: Dittrich, Bastian, et al.
Published: (2025)

Extension of Switch Point Algorithm to Boundary-Value Problems
by: Hager, William W.
Published: (2023)

A New Fast Adaptive Linearized Alternating Direction Multiplier Method for Convex Optimization
by: Wang, Boran
Published: (2024)

Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
by: Peng, Liangzu, et al.
Published: (2024)

The Riemannian Convex Bundle Method
by: Bergmann, Ronny, et al.
Published: (2024)

Homotopy Methods for Convex Optimization
by: Klingler, Andreas, et al.
Published: (2024)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
by: Kraria, Aicha, et al.
Published: (2024)

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs
by: Meng, Tingwei, et al.
Published: (2024)

Primal-dual Accelerated Mirror-Descent Method for Constrained Bilinear Saddle-Point Problems
by: Li, Weijian, et al.
Published: (2024)

IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)

A continuous perspective on the inertial corrected primal-dual proximal splitting
by: Luo, Hao
Published: (2024)

Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach
by: Farzin, Amir Ali, et al.
Published: (2026)

Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
by: Hong, Tao, et al.
Published: (2025)

The Essential Best and Average Rate of Convergence of the Exact Line Search Gradient Descent Method
by: Yu, Thomas
Published: (2023)

Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
by: Zhang, Minxin, et al.
Published: (2024)

Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems
by: Haubner, Johannes, et al.
Published: (2024)

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)

A Primal-Dual Level Set Method for Computing Geodesic Distances
by: Liu, Hailiang, et al.
Published: (2026)

Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach
by: Freire, Rusdrael Antony de Araújo, et al.
Published: (2024)

Acceleration Methods
by: d'Aspremont, Alexandre, et al.
Published: (2021)