A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yuqia, Wu, Pengcheng, Hu, Yaohua, Pan, Shaohua, Yang, Xiaoqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LeAP-SSN: A Semismooth Newton Method with Global Convergence Rates
by: Alphonse, Amal, et al.
Published: (2025)
by: Alphonse, Amal, et al.
Published: (2025)
An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization
by: Deng, Zhanwang, et al.
Published: (2023)
by: Deng, Zhanwang, et al.
Published: (2023)
$\ell_{1\text{-}2}$ Regularization for Sparse Optimization: Consistency and Global Convergence
by: Hu, Yaohua, et al.
Published: (2026)
by: Hu, Yaohua, et al.
Published: (2026)
Semismooth Newton Methods for Risk-Averse Markov Decision Processes
by: Gargiani, Matilde, et al.
Published: (2025)
by: Gargiani, Matilde, et al.
Published: (2025)
Sparse Quadratically Constrained Quadratic Programming via Semismooth Newton Method
by: Li, Shuai, et al.
Published: (2025)
by: Li, Shuai, et al.
Published: (2025)
Skip the Hessian, Keep the Rates: Globalized Semismooth Newton with Lazy Hessian Updates
by: Alphonse, Amal, et al.
Published: (2026)
by: Alphonse, Amal, et al.
Published: (2026)
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
by: Lin, Tianyi, et al.
Published: (2023)
by: Lin, Tianyi, et al.
Published: (2023)
Avoiding strict saddle points of nonconvex regularized problems
by: Bai, Luwei, et al.
Published: (2024)
by: Bai, Luwei, et al.
Published: (2024)
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)
Some Unified Theory for Variance Reduced Prox-Linear Methods
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
Two Typical Implementable Semismooth* Newton Methods for Generalized Equations are G-Semismooth Newton Methods
by: Chen, Liang, et al.
Published: (2024)
by: Chen, Liang, et al.
Published: (2024)
Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
by: Li, Peili, et al.
Published: (2021)
by: Li, Peili, et al.
Published: (2021)
Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
by: Zhang, Penghe, et al.
Published: (2025)
by: Zhang, Penghe, et al.
Published: (2025)
Semismooth Newton Method for Boundary Bilinear Control
by: Casas, Eduardo, et al.
Published: (2024)
by: Casas, Eduardo, et al.
Published: (2024)
Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization
by: Wiykiynyuy, Sikeh Gisele, et al.
Published: (2026)
by: Wiykiynyuy, Sikeh Gisele, et al.
Published: (2026)
Convergence Analysis of an Inexact MBA Method for Constrained DC Problems
by: Liu, Ruyu, et al.
Published: (2025)
by: Liu, Ruyu, et al.
Published: (2025)
Popov Mirror-Prox Method for Variational Inequalities
by: Chakraborty, Abhishek, et al.
Published: (2025)
by: Chakraborty, Abhishek, et al.
Published: (2025)
An Inexact Variable Metric Proximal Gradient-subgradient Algorithm for a Class of Fractional Optimization Problems
by: Yang, Lei, et al.
Published: (2025)
by: Yang, Lei, et al.
Published: (2025)
Lipschitz continuity of solution multifunctions of extended $\ell_1$ regularization problems
by: Meng, Kaiwen, et al.
Published: (2024)
by: Meng, Kaiwen, et al.
Published: (2024)
Twice epi-differentiablity and parabolic regularity of a class of non-amenable functions
by: Liu, Yulan, et al.
Published: (2022)
by: Liu, Yulan, et al.
Published: (2022)
Newton Method for Multiobjective Optimization Problems of Interval-Valued Maps
by: Mondal, Tapas, et al.
Published: (2026)
by: Mondal, Tapas, et al.
Published: (2026)
Dynamic Proximal Gradient Algorithms for Schatten-$p$ Quasi-Norm Regularized Problems
by: Shen, Weiping, et al.
Published: (2026)
by: Shen, Weiping, et al.
Published: (2026)
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
by: Garber, Dan, et al.
Published: (2022)
by: Garber, Dan, et al.
Published: (2022)
A Newton-Type Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
by: Ansary, Md Abu Talhamainuddin
Published: (2022)
by: Ansary, Md Abu Talhamainuddin
Published: (2022)
Subspace Newton's Method for $\ell_0$-Regularized Optimization Problems with Box Constraint
by: Ye, Yuge, et al.
Published: (2025)
by: Ye, Yuge, et al.
Published: (2025)
The Mirror-Prox Sliding Method for Non-smooth decentralized saddle-point problems
by: Kuruzov, Ilya, et al.
Published: (2022)
by: Kuruzov, Ilya, et al.
Published: (2022)
A Decentralized Primal-Dual Method with Quasi-Newton Tracking
by: Wang, Liping, et al.
Published: (2023)
by: Wang, Liping, et al.
Published: (2023)
Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
A Quasi-Newton Method to Solve Uncertain Multiobjective Optimization Problems with Uncertainty Set of Finite Cardinality
by: Gupta, K., et al.
Published: (2025)
by: Gupta, K., et al.
Published: (2025)
A Relaxation Method for Nonsmooth Nonlinear Optimization with Binary Constraints
by: Xiao, Lianghai, et al.
Published: (2026)
by: Xiao, Lianghai, et al.
Published: (2026)
Modified Quasi-Newton Method for Nonconvex Multiobjective Optimization Problems with Barzilai-Borwein diagonal matrix
by: Liu, Hua
Published: (2025)
by: Liu, Hua
Published: (2025)
Popov Mirror-Prox for solving Variational Inequalities
by: Chakraborty, Abhishek, et al.
Published: (2024)
by: Chakraborty, Abhishek, et al.
Published: (2024)
Faster stochastic cubic regularized Newton methods with momentum
by: Yang, Yiming, et al.
Published: (2025)
by: Yang, Yiming, et al.
Published: (2025)
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
Newton Method for Set Optimization Problems with Set-Valued Mapping of Finitely Many Vector-Valued Functions
by: Ghosh, Debdas, et al.
Published: (2024)
by: Ghosh, Debdas, et al.
Published: (2024)
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
by: Guo, Luyao, et al.
Published: (2023)
by: Guo, Luyao, et al.
Published: (2023)
Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates
by: Hu, Jinhui, et al.
Published: (2023)
by: Hu, Jinhui, et al.
Published: (2023)
A Stochastic Newton-type Method for Non-smooth Optimization
by: Pinta, Titus
Published: (2025)
by: Pinta, Titus
Published: (2025)
Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
by: Tsipinakis, Nick, et al.
Published: (2023)
by: Tsipinakis, Nick, et al.
Published: (2023)
On the Convergence of FedProx with Extrapolation and Inexact Prox
by: Li, Hanmin, et al.
Published: (2024)
by: Li, Hanmin, et al.
Published: (2024)
Similar Items
-
LeAP-SSN: A Semismooth Newton Method with Global Convergence Rates
by: Alphonse, Amal, et al.
Published: (2025) -
An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization
by: Deng, Zhanwang, et al.
Published: (2023) -
$\ell_{1\text{-}2}$ Regularization for Sparse Optimization: Consistency and Global Convergence
by: Hu, Yaohua, et al.
Published: (2026) -
Semismooth Newton Methods for Risk-Averse Markov Decision Processes
by: Gargiani, Matilde, et al.
Published: (2025) -
Sparse Quadratically Constrained Quadratic Programming via Semismooth Newton Method
by: Li, Shuai, et al.
Published: (2025)