Saved in:
| Main Authors: | Wu, Yan, Zhang, Yipeng, Liu, Lu, Ouyang, Yuyuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.06937 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Universal and Parameter-free Gradient Sliding for Composite Optimization
by: Wu, Yan, et al.
Published: (2026)
by: Wu, Yan, et al.
Published: (2026)
Restart-Free (Accelerated) Gradient Sliding Methods for Strongly Convex Composite Optimization
by: Wu, Xinming, et al.
Published: (2026)
by: Wu, Xinming, et al.
Published: (2026)
A Concise Lyapunov Analysis of Nesterov's Accelerated Gradient Method
by: Liu, Jun
Published: (2025)
by: Liu, Jun
Published: (2025)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)
by: Huang, Chengzhi, et al.
Published: (2024)
Accelerated Gradient Methods Through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Decentralized Conjugate Gradient and Memoryless BFGS Methods
by: Wang, Liping, et al.
Published: (2024)
by: Wang, Liping, et al.
Published: (2024)
Anytime Acceleration of Gradient Descent
by: Zhang, Zihan, et al.
Published: (2024)
by: Zhang, Zihan, et al.
Published: (2024)
Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization
by: Sebastián, Eduardo, et al.
Published: (2024)
by: Sebastián, Eduardo, et al.
Published: (2024)
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization
by: Lan, Guanghui, et al.
Published: (2023)
by: Lan, Guanghui, et al.
Published: (2023)
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
by: Pan, Rui, et al.
Published: (2023)
by: Pan, Rui, et al.
Published: (2023)
Accelerated Gradient Descent by Concatenation of Stepsize Schedules
by: Zhang, Zehao, et al.
Published: (2024)
by: Zhang, Zehao, et al.
Published: (2024)
Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
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)
Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)
by: Chengzhi, Huang
Published: (2025)
Point Convergence of Nesterov's Accelerated Gradient Method: An AI-Assisted Proof
by: Jang, Uijeong, et al.
Published: (2025)
by: Jang, Uijeong, et al.
Published: (2025)
Convergence Analysis of Stochastic Accelerated Gradient Methods for Generalized Smooth Optimizations
by: Yu, Chenhao, et al.
Published: (2025)
by: Yu, Chenhao, et al.
Published: (2025)
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)
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)
Multiobjective Accelerated Gradient-like Flow with Asymptotic Vanishing Normalized Gradient
by: Yin, Yingdong
Published: (2025)
by: Yin, Yingdong
Published: (2025)
Multi-step Inertial Accelerated Doubly Stochastic Gradient Methods for Block Term Tensor Decomposition
by: Liu, Zehui, et al.
Published: (2025)
by: Liu, Zehui, et al.
Published: (2025)
Conditional Gradient Methods
by: Braun, Gábor, et al.
Published: (2022)
by: Braun, Gábor, et al.
Published: (2022)
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)
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)
Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Continuous and Discrete
by: Yin, Yingdong
Published: (2025)
by: Yin, Yingdong
Published: (2025)
Fast Accelerated Proximal Gradient Method with New Extrapolation Term for Multiobjective Optimization
by: Huang, Chengzhi
Published: (2025)
by: Huang, Chengzhi
Published: (2025)
Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks
by: Solodkin, Vladimir, et al.
Published: (2024)
by: Solodkin, Vladimir, et al.
Published: (2024)
Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps
by: Grimmer, Benjamin, et al.
Published: (2024)
by: Grimmer, Benjamin, et al.
Published: (2024)
Universal Gradient Methods for Stochastic Convex Optimization
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods
by: Park, Chanwoong, et al.
Published: (2024)
by: Park, Chanwoong, 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)
Loopless Proximal Riemannian Gradient EXTRA for Distributed Optimization on Compact Manifolds
by: Xiong, Yongyang, et al.
Published: (2026)
by: Xiong, Yongyang, et al.
Published: (2026)
Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
by: Wang, Zimeng, et al.
Published: (2026)
by: Wang, Zimeng, et al.
Published: (2026)
Inexact Accelerated Proximal Gradient Method Revisit: An Economical Variant via Shadow Points
by: Yang, Lei, et al.
Published: (2025)
by: Yang, Lei, 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)
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds
by: Gürbüzbalaban, Mert, et al.
Published: (2025)
by: Gürbüzbalaban, Mert, et al.
Published: (2025)
Accelerating Gradient Tracking with Periodic Global Averaging
by: Feng, Shujing, et al.
Published: (2024)
by: Feng, Shujing, et al.
Published: (2024)
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)
Similar Items
-
Universal and Parameter-free Gradient Sliding for Composite Optimization
by: Wu, Yan, et al.
Published: (2026) -
Restart-Free (Accelerated) Gradient Sliding Methods for Strongly Convex Composite Optimization
by: Wu, Xinming, et al.
Published: (2026) -
A Concise Lyapunov Analysis of Nesterov's Accelerated Gradient Method
by: Liu, Jun
Published: (2025) -
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026) -
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)