Decentralized Conjugate Gradient and Memoryless BFGS Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Liping, Wu, Hao, Zhang, Hongchao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Decentralized Primal-Dual Method with Quasi-Newton Tracking
by: Wang, Liping, et al.
Published: (2023)
by: Wang, Liping, et al.
Published: (2023)
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
by: Chen, Jun, et al.
Published: (2023)
by: Chen, Jun, et al.
Published: (2023)
A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Global Complexity Analysis of BFGS
by: Rodomanov, Anton
Published: (2024)
by: Rodomanov, Anton
Published: (2024)
Quasi-Quadratic Gradient: A New Direction for Accelerating the BFGS Method in Quasi-Newton Optimization
by: Chiang, John
Published: (2026)
by: Chiang, John
Published: (2026)
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
by: Jin, Qiujiang, et al.
Published: (2022)
by: Jin, Qiujiang, et al.
Published: (2022)
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods
by: Jiang, Zhanhong, et al.
Published: (2025)
by: Jiang, Zhanhong, et al.
Published: (2025)
Efficient Stochastic BFGS methods Inspired by Bayesian Principles
by: Carlon, André, et al.
Published: (2025)
by: Carlon, André, et al.
Published: (2025)
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)
by: Huang, Chengzhi, et al.
Published: (2024)
A robust BFGS algorithm for unconstrained nonlinear optimization problems
by: Yang, Yaguang
Published: (2012)
by: Yang, Yaguang
Published: (2012)
Explicit Global Convergence Rates of BFGS without Line Search
by: Yu, Jianjiang, et al.
Published: (2025)
by: Yu, Jianjiang, et al.
Published: (2025)
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
by: Ziyin, Liu, et al.
Published: (2024)
by: Ziyin, Liu, 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)
Tighter Analysis for Decentralized Stochastic Gradient Method: Impact of Data Homogeneity
by: Li, Qiang, et al.
Published: (2024)
by: Li, Qiang, et al.
Published: (2024)
Non-asymptotic Global Convergence Rates of BFGS with Exact Line Search
by: Jin, Qiujiang, et al.
Published: (2024)
by: Jin, Qiujiang, et al.
Published: (2024)
A Diagonal BFGS Update Algorithm with Inertia Acceleration Technology for Minimizations
by: Luo, Zhenhua, et al.
Published: (2024)
by: Luo, Zhenhua, et al.
Published: (2024)
Shape Optimization with Nonlinear Conjugate Gradient Methods
by: Blauth, Sebastian
Published: (2022)
by: Blauth, Sebastian
Published: (2022)
Nonlinear Conjugate Gradient Method for Multiobjective Optimization Problems of Interval-Valued Maps
by: Mondal, Tapas, et al.
Published: (2026)
by: Mondal, Tapas, et al.
Published: (2026)
Solution of Uncertain Multiobjective Optimization Problems by Using Nonlinear Conjugate Gradient Method
by: Kumar, Shubham, et al.
Published: (2025)
by: Kumar, Shubham, et al.
Published: (2025)
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
by: Jin, Qiujiang, et al.
Published: (2024)
by: Jin, Qiujiang, et al.
Published: (2024)
Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems
by: Prudente, L. F., et al.
Published: (2023)
by: Prudente, L. F., et al.
Published: (2023)
Conjugate gradient methods without line search for multiobjective optimization
by: Chen, Wang, et al.
Published: (2023)
by: Chen, Wang, et al.
Published: (2023)
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
PRP, HS and LS Conjugate Gradient Methods for Interval-Valued Multiobjective Optimization Problems
by: Mondal, Tapas, et al.
Published: (2026)
by: Mondal, Tapas, et al.
Published: (2026)
A Modified Dai-Liao Spectral Conjugate Gradient Method with an Application to Signal Processing
by: Sahu, D. R., et al.
Published: (2025)
by: Sahu, D. R., et al.
Published: (2025)
Optimal Gradient Tracking for Decentralized Optimization
by: Song, Zhuoqing, et al.
Published: (2021)
by: Song, Zhuoqing, et al.
Published: (2021)
Multi-constraint Graph Partitioning Problems Via Recursive Bipartition Algorithm Based on Subspace Minimization Conjugate Gradient Method
by: Sun, Wumwi, et al.
Published: (2025)
by: Sun, Wumwi, et al.
Published: (2025)
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)
Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity
by: Shen, Xing, et al.
Published: (2024)
by: Shen, Xing, et al.
Published: (2024)
Decentralized Min-Max Optimization with Gradient Tracking
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Gradient-Type Methods For Decentralized Optimization Problems With Polyak-Łojasiewicz Condition Over Time-Varying Networks
by: Kuruzov, Ilya, et al.
Published: (2022)
by: Kuruzov, Ilya, et al.
Published: (2022)
A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
by: Guo, Luyao, et al.
Published: (2023)
by: Guo, Luyao, et al.
Published: (2023)
Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
by: Xu, Qing, et al.
Published: (2026)
by: Xu, Qing, et al.
Published: (2026)
Global convergence of a modified BFGS-type method based on function information for nonconvex multiobjective optimization problems
by: Yang, Yingxue
Published: (2024)
by: Yang, Yingxue
Published: (2024)
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
An arc-search BFGS algorithm for unconstrained nonlinear optimization problems
by: Yang, Yaguang
Published: (2026)
by: Yang, Yaguang
Published: (2026)
Historical Information Accelerates Decentralized Optimization: A Proximal Bundle Method
by: Zhu, Zhao, et al.
Published: (2025)
by: Zhu, Zhao, et al.
Published: (2025)
Smoothing Gradient Tracking for Decentralized Optimization over the Stiefel Manifold with Non-smooth Regularizers
by: Wang, Lei, et al.
Published: (2023)
by: Wang, Lei, et al.
Published: (2023)
Accelerated Gradient Methods Through Variable and Operator Splitting
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
Distributed Conjugate Gradient Method via Conjugate Direction Tracking
by: Shorinwa, Ola, et al.
Published: (2023)
by: Shorinwa, Ola, et al.
Published: (2023)
Similar Items
-
A Decentralized Primal-Dual Method with Quasi-Newton Tracking
by: Wang, Liping, et al.
Published: (2023) -
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
by: Chen, Jun, et al.
Published: (2023) -
A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
by: Wu, Hao, et al.
Published: (2025) -
Global Complexity Analysis of BFGS
by: Rodomanov, Anton
Published: (2024) -
Quasi-Quadratic Gradient: A New Direction for Accelerating the BFGS Method in Quasi-Newton Optimization
by: Chiang, John
Published: (2026)