Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Jingrong, Chen, Long |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerated Gradient Methods Through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
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)
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2022)
by: Liu, Xin, et al.
Published: (2022)
Accelerated Mirror Descent Method through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2026)
by: Chen, Long, et al.
Published: (2026)
Heavy Ball and Nesterov Accelerations with Hessian-driven Damping for Nonconvex Optimization
by: Hadjisavvas, N., et al.
Published: (2025)
by: Hadjisavvas, N., et al.
Published: (2025)
(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum
by: Dang, Anh, et al.
Published: (2024)
by: Dang, Anh, et al.
Published: (2024)
Dual Acceleration for Minimax Optimization: Linear Convergence Under Relaxed Assumptions
by: Li, Jingwang, et al.
Published: (2025)
by: Li, Jingwang, et al.
Published: (2025)
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality
by: Kassing, Sebastian, et al.
Published: (2024)
by: Kassing, Sebastian, et al.
Published: (2024)
On the Convergence of the Accelerated Riccati Iteration Method
by: Rajasingam, Prasanthan, et al.
Published: (2017)
by: Rajasingam, Prasanthan, et al.
Published: (2017)
Accelerated Gradient and Skew-Symmetric Splitting Methods for a Class of Monotone Operator Equations
by: Chen, Long, et al.
Published: (2023)
by: Chen, Long, et al.
Published: (2023)
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)
The Nesterov-Spokoiny Acceleration Achieves Strict $o(1/k^2)$ Convergence
by: Peng, Weibin, et al.
Published: (2023)
by: Peng, Weibin, et al.
Published: (2023)
Anderson Acceleration for Linearly Converging SQP-Type Methods
by: Frey, Jonathan, et al.
Published: (2026)
by: Frey, Jonathan, et al.
Published: (2026)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Adam-HNAG: A Convergent Reformulation of Adam with Accelerated Rate
by: Yu, Yaxin, et al.
Published: (2026)
by: Yu, Yaxin, et al.
Published: (2026)
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)
Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
by: Lin, Junan, et al.
Published: (2026)
by: Lin, Junan, et al.
Published: (2026)
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 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)
Second-Order Bilevel Optimization with Accelerated Convergence Rates
by: Yang, Sheng, et al.
Published: (2026)
by: Yang, Sheng, et al.
Published: (2026)
Mixed-Precision GPU Acceleration for Large-Scale Minimum Enclosing Ball Problems
by: Liang, Ling, et al.
Published: (2026)
by: Liang, Ling, et al.
Published: (2026)
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
by: Wu, Mou, et al.
Published: (2024)
by: Wu, Mou, et al.
Published: (2024)
Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency
by: Jiang, Yuntian, et al.
Published: (2025)
by: Jiang, Yuntian, et al.
Published: (2025)
Accelerating Sinkhorn for Entropy-Regularized Optimal Transport
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Multi-objective Optimization
by: Huang, Chengzhi
Published: (2023)
by: Huang, Chengzhi
Published: (2023)
Global Convergence and Acceleration for Single Observation Gradient Free Optimization
by: Lauand, Caio Kalil, et al.
Published: (2025)
by: Lauand, Caio Kalil, et al.
Published: (2025)
The Iterates of Nesterov's Accelerated Algorithm Converge in The Critical Regimes
by: Bot, Radu Ioan, et al.
Published: (2025)
by: Bot, Radu Ioan, et al.
Published: (2025)
Open Problem: Two Riddles in Heavy-Ball Dynamics
by: Goujaud, Baptiste, et al.
Published: (2025)
by: Goujaud, Baptiste, et al.
Published: (2025)
Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration without Momentum
by: Wang, Bofan, et al.
Published: (2024)
by: Wang, Bofan, et al.
Published: (2024)
On the Acceleration of Proximal Bundle Methods
by: Fersztand, David, et al.
Published: (2025)
by: Fersztand, David, 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)
Abs-Smooth Frank-Wolfe Method: Primal-Dual Analysis, Heavy Ball Momentum, and Inexact Oracles
by: Tadinada, Sri Harshitha, et al.
Published: (2026)
by: Tadinada, Sri Harshitha, et al.
Published: (2026)
Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
by: Tavakoli, Meisam, et al.
Published: (2025)
by: Tavakoli, Meisam, et al.
Published: (2025)
Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0, L_1)$-Smoothness
by: Tyurin, Alexander
Published: (2025)
by: Tyurin, Alexander
Published: (2025)
Convergence Analysis and Acceleration of Fictitious Play for General Mean-Field Games via the Best Response
by: Yu, Jiajia, et al.
Published: (2024)
by: Yu, Jiajia, et al.
Published: (2024)
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)
by: Huang, Chengzhi, et al.
Published: (2024)
An Accelerated Proximal Bundle Method with Momentum
by: Zheng, Zhuoqing, et al.
Published: (2026)
by: Zheng, Zhuoqing, et al.
Published: (2026)
Accelerating Gradient Tracking with Periodic Global Averaging
by: Feng, Shujing, et al.
Published: (2024)
by: Feng, Shujing, et al.
Published: (2024)
Similar Items
-
Accelerated Gradient Methods Through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2025) -
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
by: Pan, Rui, et al.
Published: (2023) -
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2022) -
Accelerated Mirror Descent Method through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2026) -
Heavy Ball and Nesterov Accelerations with Hessian-driven Damping for Nonconvex Optimization
by: Hadjisavvas, N., et al.
Published: (2025)