Saved in:
| Main Author: | Zhu, Hong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.15752 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unifying restart accelerated gradient and proximal bundle methods
by: Liang, Jiaming
Published: (2025)
by: Liang, Jiaming
Published: (2025)
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)
Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024)
by: Liang, Jiaming
Published: (2024)
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)
An inexact $q$-order regularized proximal Newton method for nonconvex composite optimization
by: Liu, Ruyu, et al.
Published: (2023)
by: Liu, Ruyu, et al.
Published: (2023)
On the B-subdifferential of proximal operators of affine-constrained $\ell_1$ regularizer
by: Li, Xudong, et al.
Published: (2025)
by: Li, Xudong, et al.
Published: (2025)
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 interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022)
by: De Marchi, Alberto, et al.
Published: (2022)
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)
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)
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)
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)
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)
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)
Global non-asymptotic super-linear convergence rates of regularized proximal quasi-Newton methods on non-smooth composite problems
by: Wang, Shida, et al.
Published: (2024)
by: Wang, Shida, et al.
Published: (2024)
Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)
by: Pérez-Aros, Pedro, et al.
Published: (2025)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Projective splitting with backward, half-forward and proximal-Newton steps
by: Alves, M. Marques
Published: (2022)
by: Alves, M. Marques
Published: (2022)
Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
A distributed proximal splitting method with linesearch for locally Lipschitz gradients
by: Atenas, Felipe, et al.
Published: (2024)
by: Atenas, Felipe, et al.
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)
A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
by: Liu, Zexian
Published: (2026)
by: Liu, Zexian
Published: (2026)
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
by: Cheng, Xiuyuan, et al.
Published: (2023)
by: Cheng, Xiuyuan, et al.
Published: (2023)
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)
Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems
by: Lin, Lanyu, et al.
Published: (2025)
by: Lin, Lanyu, et al.
Published: (2025)
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
by: Latafat, Puya, et al.
Published: (2019)
by: Latafat, Puya, et al.
Published: (2019)
Weak convergence of the stochastic proximal point method in metric spaces
by: Pischke, Nicholas
Published: (2026)
by: Pischke, Nicholas
Published: (2026)
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)
Implicit regularization of normalized gradient descent
by: Josz, Cédric
Published: (2026)
by: Josz, Cédric
Published: (2026)
Characterizations of inexact proximal operators
by: Lauga, Guillaume, et al.
Published: (2026)
by: Lauga, Guillaume, et al.
Published: (2026)
Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence
by: Takahashi, Shota, et al.
Published: (2024)
by: Takahashi, Shota, et al.
Published: (2024)
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
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)
Efficient algorithms for implementing incremental proximal-point methods
by: Shtoff, Alex
Published: (2022)
by: Shtoff, Alex
Published: (2022)
Learning complexity of gradient descent and conjugate gradient algorithms
by: Jiao, Xianqi, et al.
Published: (2024)
by: Jiao, Xianqi, et al.
Published: (2024)
A smoothing proximal gradient algorithm for matrix rank minimization problem
by: Yu, Quan, et al.
Published: (2021)
by: Yu, Quan, et al.
Published: (2021)
Similar Items
-
Unifying restart accelerated gradient and proximal bundle methods
by: Liang, Jiaming
Published: (2025) -
Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025) -
A single-loop proximal-conditional-gradient penalty method
by: Zhang, Hao, et al.
Published: (2024) -
Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024) -
Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)