Saved in:
| Main Authors: | Wu, Xinming, Xu, Zi, Zhang, Huiling |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.04161 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Acceleration Without Strong Convexity Priors Or Restarts
by: Cavalcanti, Joao V., et al.
Published: (2025)
by: Cavalcanti, Joao V., et al.
Published: (2025)
HNAG$^{++}$: An Accelerated Gradient Method with a Refined Asymptotic Rate for Strongly Convex Optimization
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
by: Suh, Jaewook J., et al.
Published: (2025)
by: Suh, Jaewook J., et al.
Published: (2025)
Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)
by: Zhang, Silan, et al.
Published: (2024)
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Universal and Parameter-free Gradient Sliding for Composite Optimization
by: Wu, Yan, et al.
Published: (2026)
by: Wu, Yan, et al.
Published: (2026)
Complexity of Projected Gradient Methods for Strongly Convex Optimization with Hölder Continuous Gradient Terms
by: Chen, Xiaojun, et al.
Published: (2026)
by: Chen, Xiaojun, et al.
Published: (2026)
Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
by: Yao, Yao, et al.
Published: (2023)
by: Yao, Yao, et al.
Published: (2023)
Improved Analysis of Restarted Accelerated Gradient and Augmented Lagrangian Methods via Inexact Proximal Point Frameworks
by: Burns, Matthew X., et al.
Published: (2026)
by: Burns, Matthew X., et al.
Published: (2026)
Universal Gradient Methods for Stochastic Convex Optimization
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)
by: Cao, Jincheng, et al.
Published: (2024)
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
by: Kim, Jungbin, et al.
Published: (2022)
by: Kim, Jungbin, et al.
Published: (2022)
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)
Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
by: Takahashi, Shota
Published: (2026)
by: Takahashi, Shota
Published: (2026)
Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization
by: Pond, Ellie, et al.
Published: (2024)
by: Pond, Ellie, 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 Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
by: Wang, Junlin, et al.
Published: (2024)
by: Wang, Junlin, et al.
Published: (2024)
Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming
by: Huang, Yicheng, et al.
Published: (2024)
by: Huang, Yicheng, et al.
Published: (2024)
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
by: Ren, Yijin, et al.
Published: (2025)
by: Ren, Yijin, et al.
Published: (2025)
An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition
by: Lin, Qihang, et al.
Published: (2020)
by: Lin, Qihang, et al.
Published: (2020)
Accelerated Backward Forward Method for Convex Optimization
by: Wang, Zepeng, et al.
Published: (2026)
by: Wang, Zepeng, et al.
Published: (2026)
Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
by: Chen, Lesi, et al.
Published: (2025)
by: Chen, Lesi, et al.
Published: (2025)
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
by: Zhang, Huiling, et al.
Published: (2023)
by: Zhang, Huiling, et al.
Published: (2023)
Convex Synthesis of First-Order Methods for Time-Varying Smooth Strongly Convex Optimization
by: Van Scoy, Bryan, et al.
Published: (2026)
by: Van Scoy, Bryan, et al.
Published: (2026)
Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
by: Zhu, Dongxuan, et al.
Published: (2025)
by: Zhu, Dongxuan, et al.
Published: (2025)
Anderson Acceleration Without Restart: A Novel Method with $n$-Step Super Quadratic Convergence Rate
by: Ye, Haishan, et al.
Published: (2024)
by: Ye, Haishan, et al.
Published: (2024)
Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
by: Chari, Govind M., et al.
Published: (2026)
by: Chari, Govind M., et al.
Published: (2026)
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
The Method of Ellipcenters for Strongly Convex Functions
by: Bello-Cruz, Yunier
Published: (2026)
by: Bello-Cruz, Yunier
Published: (2026)
A Note on the Gradient-Evaluation Sequence in Accelerated Gradient Methods
by: Wu, Yan, et al.
Published: (2026)
by: Wu, Yan, et al.
Published: (2026)
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)
A Proximal Method for Composite Optimization with Smooth and Convex Components
by: Uzun, Samet, et al.
Published: (2025)
by: Uzun, Samet, et al.
Published: (2025)
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)
by: Bao, Chenglong, et al.
Published: (2024)
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization
by: Lin, Zhenwei, et al.
Published: (2023)
by: Lin, Zhenwei, et al.
Published: (2023)
Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)
by: Huang, Ziyu, et al.
Published: (2024)
Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity
by: Chen, Xin, et al.
Published: (2019)
by: Chen, Xin, et al.
Published: (2019)
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)
by: Huang, Chengzhi, et al.
Published: (2024)
A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)
by: Khanh, Pham Duy, et al.
Published: (2023)
Lower Bounds for Linear Minimization Oracle Methods Optimizing over Strongly Convex Sets
by: Grimmer, Benjamin, et al.
Published: (2026)
by: Grimmer, Benjamin, et al.
Published: (2026)
Similar Items
-
Adaptive Acceleration Without Strong Convexity Priors Or Restarts
by: Cavalcanti, Joao V., et al.
Published: (2025) -
HNAG$^{++}$: An Accelerated Gradient Method with a Refined Asymptotic Rate for Strongly Convex Optimization
by: Chen, Long, et al.
Published: (2025) -
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026) -
An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
by: Suh, Jaewook J., et al.
Published: (2025) -
Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)