A Single-Loop Stochastic Gradient Algorithm for Minimax Optimization with Nonlinear Coupled Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Qichao, Zeng, Shangzhi, Zhang, Jin, Zhou, Yuxuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
by: Cao, Qichao, et al.
Published: (2025)
by: Cao, Qichao, et al.
Published: (2025)
Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
by: Jiang, Xia, et al.
Published: (2025)
by: Jiang, Xia, et al.
Published: (2025)
Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
by: Wang, Hongye, et al.
Published: (2026)
by: Wang, Hongye, et al.
Published: (2026)
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
by: Yao, Wei, et al.
Published: (2024)
by: Yao, Wei, et al.
Published: (2024)
A Minimization Approach for Minimax Optimization with Coupled Constraints
by: Hu, Xiaoyin, et al.
Published: (2024)
by: Hu, Xiaoyin, et al.
Published: (2024)
Extended SQP Methods in Nonsmooth Difference Programming Applied to Problems with Variational Inequality Constraints
by: Mordukhovich, Boris S., et al.
Published: (2025)
by: Mordukhovich, Boris S., et al.
Published: (2025)
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization
by: Curtis, Frank E., et al.
Published: (2024)
by: Curtis, Frank E., et al.
Published: (2024)
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
by: Yao, Wei, et al.
Published: (2024)
by: Yao, Wei, et al.
Published: (2024)
Gradient-based algorithms for multi-objective bi-level optimization
by: Yang, Xinmin, et al.
Published: (2024)
by: Yang, Xinmin, et al.
Published: (2024)
Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions
by: Liu, Risheng, et al.
Published: (2023)
by: Liu, Risheng, et al.
Published: (2023)
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
by: Zhang, Huiling, et al.
Published: (2024)
by: Zhang, Huiling, et al.
Published: (2024)
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
by: Liu, Risheng, et al.
Published: (2024)
by: Liu, Risheng, et al.
Published: (2024)
A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
by: Qiu, Chenyang, et al.
Published: (2025)
by: Qiu, Chenyang, et al.
Published: (2025)
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
by: Lin, Tianyi, et al.
Published: (2024)
by: Lin, Tianyi, et al.
Published: (2024)
Completely Parameter-Free Single-Loop Algorithms for Nonconvex-Concave Minimax Problems
by: Yang, Junnan, et al.
Published: (2024)
by: Yang, Junnan, et al.
Published: (2024)
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
by: Wang, Bokun, et al.
Published: (2023)
by: Wang, Bokun, et al.
Published: (2023)
Iterative Minimax Games with Coupled Linear Constraints
by: Zhang, Huiling, et al.
Published: (2022)
by: Zhang, Huiling, et al.
Published: (2022)
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
by: Shen, Wei, et al.
Published: (2023)
by: Shen, Wei, et al.
Published: (2023)
A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
by: Xie, Antai, et al.
Published: (2024)
by: Xie, Antai, et al.
Published: (2024)
A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems
by: Song, Yongcun, et al.
Published: (2026)
by: Song, Yongcun, et al.
Published: (2026)
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)
by: Wang, Lei, 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)
A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
by: Zhu, Yuchen, et al.
Published: (2024)
by: Zhu, Yuchen, et al.
Published: (2024)
Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
by: Long, Xian-Jun, et al.
Published: (2025)
by: Long, Xian-Jun, et al.
Published: (2025)
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity
by: Chu, Tianshu, et al.
Published: (2024)
by: Chu, Tianshu, et al.
Published: (2024)
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
by: Huang, Feihu, et al.
Published: (2023)
by: Huang, Feihu, et al.
Published: (2023)
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
by: Chen, Lesi, et al.
Published: (2022)
by: Chen, Lesi, et al.
Published: (2022)
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization
by: Li, Huaqing, et al.
Published: (2019)
by: Li, Huaqing, et al.
Published: (2019)
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
by: Zhang, Xuan, et al.
Published: (2023)
by: Zhang, Xuan, et al.
Published: (2023)
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
by: Gu, Zhihao, et al.
Published: (2024)
by: Gu, Zhihao, et al.
Published: (2024)
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2024)
by: Gong, Xiaochuan, et al.
Published: (2024)
Distributed Adaptive Gradient Algorithm with Gradient Tracking for Stochastic Non-Convex Optimization
by: Han, Dongyu, et al.
Published: (2024)
by: Han, Dongyu, et al.
Published: (2024)
Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
by: Rajoriya, Vaibhav, et al.
Published: (2025)
by: Rajoriya, Vaibhav, et al.
Published: (2025)
NPGA: A Unified Algorithmic Framework for Decentralized Constraint-Coupled Optimization
by: Li, Jingwang, et al.
Published: (2022)
by: Li, Jingwang, et al.
Published: (2022)
A Communication-Efficient Distributed Optimization Algorithm for Problems with Coupling Constraints
by: Duan, Yuzhu, et al.
Published: (2025)
by: Duan, Yuzhu, et al.
Published: (2025)
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
by: Zhang, Lijun, et al.
Published: (2023)
by: Zhang, Lijun, et al.
Published: (2023)
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)
by: Zeng, Yuxuan, et al.
Published: (2024)
Optimality conditions for bilevel programs via Moreau envelope reformulation
by: Bai, Kuang, et al.
Published: (2023)
by: Bai, Kuang, et al.
Published: (2023)
Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
by: Shi, Jinyang, et al.
Published: (2026)
by: Shi, Jinyang, et al.
Published: (2026)
Similar Items
-
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
by: Cao, Qichao, et al.
Published: (2025) -
Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
by: Jiang, Xia, et al.
Published: (2025) -
Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
by: Wang, Hongye, et al.
Published: (2026) -
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
by: Yao, Wei, et al.
Published: (2024) -
A Minimization Approach for Minimax Optimization with Coupled Constraints
by: Hu, Xiaoyin, et al.
Published: (2024)