Saved in:
| Main Author: | Liang, Jiaming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.04165 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024)
by: Liang, Jiaming
Published: (2024)
An accelerated proximal bundle method for convex optimization
by: Liao, Feng-Yi, et al.
Published: (2025)
by: Liao, Feng-Yi, et al.
Published: (2025)
An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025)
by: Luo, Hao, et al.
Published: (2025)
Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization
by: Guigues, Vincent, et al.
Published: (2024)
by: Guigues, Vincent, et al.
Published: (2024)
On the complexity of proximal gradient and proximal gradient-Newton-CG methods for \(\ell_1\)-regularized Optimization
by: Zhu, Hong
Published: (2025)
by: Zhu, Hong
Published: (2025)
Proximal bundle methods for hybrid weakly convex composite optimization problems
by: Liang, Jiaming, et al.
Published: (2023)
by: Liang, Jiaming, et al.
Published: (2023)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)
by: Cerone, V., et al.
Published: (2025)
A single-loop proximal-conditional-gradient penalty method
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Complexity and numerical experiments of a new adaptive generic proximal bundle method
by: Guigues, Vincent, et al.
Published: (2024)
by: Guigues, Vincent, et al.
Published: (2024)
Worst-case analysis of restarted primal-dual hybrid gradient on totally unimodular linear programs
by: Hinder, Oliver
Published: (2023)
by: Hinder, Oliver
Published: (2023)
Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)
by: Necoara, I., et al.
Published: (2021)
Parameter-free proximal bundle methods with adaptive stepsizes for hybrid convex composite optimization problems
by: Monteiro, Renato D. C., et al.
Published: (2024)
by: Monteiro, Renato D. C., et al.
Published: (2024)
An accelerated semi-proximal ADMM with applications to multi-block sparse optimization problems
by: Liu, Peng, et al.
Published: (2025)
by: Liu, Peng, et al.
Published: (2025)
The stochastic Ravine accelerated gradient method with general extrapolation coefficients
by: Attouch, Hedy, et al.
Published: (2024)
by: Attouch, Hedy, et al.
Published: (2024)
Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus
by: Mastropietro, Daniel, et al.
Published: (2023)
by: Mastropietro, Daniel, et al.
Published: (2023)
Convergence analysis of nonmonotone proximal gradient methods under local Lipschitz continuity and Kurdyka--Łojasiewicz property
by: Jia, Xiaoxi, et al.
Published: (2024)
by: Jia, Xiaoxi, et al.
Published: (2024)
Inexact JKO and proximal-gradient algorithms in the Wasserstein space
by: Di Marino, Simone, et al.
Published: (2025)
by: Di Marino, Simone, et al.
Published: (2025)
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport
by: Chen, Xiang, et al.
Published: (2024)
by: Chen, Xiang, et al.
Published: (2024)
A line search framework with restarting for noisy optimization problems
by: Berahas, Albert S., et al.
Published: (2025)
by: Berahas, Albert S., et al.
Published: (2025)
Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
by: Wang, Ruyu, et al.
Published: (2023)
by: Wang, Ruyu, et al.
Published: (2023)
A unified Euler--Lagrange system for analyzing continuous-time accelerated gradient methods
by: Toyoda, Mitsuru, et al.
Published: (2024)
by: Toyoda, Mitsuru, et al.
Published: (2024)
Projected proximal gradient trust-region algorithm for nonsmooth optimization
by: Dao, Minh N., et al.
Published: (2025)
by: Dao, Minh N., et al.
Published: (2025)
A nonmonotone extrapolated proximal gradient-subgradient algorithm beyond global Lipschitz gradient continuity
by: Yang, Lei, et al.
Published: (2025)
by: Yang, Lei, et al.
Published: (2025)
Towards faster first order methods: A continuous-time model to interpolate between speed and function value restart
by: Maulén, Juan José, et al.
Published: (2025)
by: Maulén, Juan José, et al.
Published: (2025)
The Güler-type acceleration for proximal gradient, linearized augmented Lagrangian and linearized alternating direction method of multipliers
by: Zhou, Bin, et al.
Published: (2025)
by: Zhou, Bin, et al.
Published: (2025)
Group zero-norm regularized robust loss minimization: proximal MM method and statistical error bound
by: Liang, Ling, et al.
Published: (2025)
by: Liang, Ling, et al.
Published: (2025)
A class of generalized Nesterov's accelerated gradient method from dynamical perspective
by: Cheng, Xu, et al.
Published: (2025)
by: Cheng, Xu, et al.
Published: (2025)
An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022)
by: De Marchi, Alberto, et al.
Published: (2022)
Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
by: Gao, Ying, et al.
Published: (2024)
by: Gao, Ying, et al.
Published: (2024)
Approximate Bregman proximal gradient algorithm with variable metric Armijo--Wolfe line search
by: Fujiki, Kiwamu, et al.
Published: (2025)
by: Fujiki, Kiwamu, et al.
Published: (2025)
Bregman proximal gradient method for linear optimization under entropic constraints
by: Briceño-Arias, Luis M., et al.
Published: (2025)
by: Briceño-Arias, Luis M., et al.
Published: (2025)
An equivalent reformulation and multi-proximity gradient algorithms for a class of nonsmooth fractional programming
by: Zhou, Junpeng, et al.
Published: (2023)
by: Zhou, Junpeng, et al.
Published: (2023)
An accelerated proximal PRS-SQP algorithm with dual ascent-descent procedures for smooth composite optimization
by: Jin, Jiachen, et al.
Published: (2025)
by: Jin, Jiachen, et al.
Published: (2025)
Multidimensional extrapolated global proximal gradient and applications for image processing
by: Bentbib, Abdeslem Hafid, et al.
Published: (2024)
by: Bentbib, Abdeslem Hafid, et al.
Published: (2024)
Multi-cut stochastic approximation methods for solving stochastic convex composite optimization
by: Liang, Jiaming, et al.
Published: (2025)
by: Liang, Jiaming, et al.
Published: (2025)
Distributed accelerated proximal conjugate gradient methods for multi-agent constrained optimization problems
by: Gebrie, Anteneh Getachew
Published: (2023)
by: Gebrie, Anteneh Getachew
Published: (2023)
Weak convergence of the stochastic proximal point method in metric spaces
by: Pischke, Nicholas
Published: (2026)
by: Pischke, Nicholas
Published: (2026)
An inexact variable metric proximal linearization method for composite optimization on manifolds
by: He, Hao, et al.
Published: (2025)
by: He, Hao, et al.
Published: (2025)
A multilevel proximal trust-region method for nonsmooth optimization with applications
by: Baraldi, Robert, et al.
Published: (2025)
by: Baraldi, Robert, et al.
Published: (2025)
Similar Items
-
Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024) -
An accelerated proximal bundle method for convex optimization
by: Liao, Feng-Yi, et al.
Published: (2025) -
An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025) -
Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization
by: Guigues, Vincent, et al.
Published: (2024) -
On the complexity of proximal gradient and proximal gradient-Newton-CG methods for \(\ell_1\)-regularized Optimization
by: Zhu, Hong
Published: (2025)