Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Multi-objective Optimization
Fuente:
arXiv
Saved in:
| Main Author: | Huang, Chengzhi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)
by: Chengzhi, Huang
Published: (2025)
Fast Accelerated Proximal Gradient Method with New Extrapolation Term for Multiobjective Optimization
by: Huang, Chengzhi
Published: (2025)
by: Huang, Chengzhi
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)
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)
by: Condat, Laurent, et al.
Published: (2025)
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)
Projective Proximal Gradient Descent for A Class of Nonconvex Nonsmooth Optimization Problems: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
by: Yang, Yingzhen, et al.
Published: (2023)
by: Yang, Yingzhen, et al.
Published: (2023)
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
by: Zhu, Dongxuan, et al.
Published: (2025)
by: Zhu, Dongxuan, et al.
Published: (2025)
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
by: Liu, Zijian, et al.
Published: (2025)
by: Liu, Zijian, et al.
Published: (2025)
An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
by: Amaral, Vitaliano S., et al.
Published: (2025)
by: Amaral, Vitaliano S., et al.
Published: (2025)
Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026)
by: Madariaga, Javier I.
Published: (2026)
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
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)
A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
by: Diouane, Youssef, et al.
Published: (2024)
by: Diouane, Youssef, et al.
Published: (2024)
An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
by: Long, Xian-Jun, et al.
Published: (2025)
by: Long, Xian-Jun, et al.
Published: (2025)
Equilibrium Invariance, Proximality, and Surrogation: Moreau-Smoothed Best-Response Pathways in Stochastic Nonsmooth Games
by: Xiao, Zhuoyu, et al.
Published: (2026)
by: Xiao, Zhuoyu, et al.
Published: (2026)
A Proximal Variable Smoothing for Nonsmooth Minimization Involving Weakly Convex Composite with MIMO Application
by: Kume, Keita, et al.
Published: (2024)
by: Kume, Keita, et al.
Published: (2024)
Linearly Convergent Algorithms for Nonsmooth Problems with Unknown Smooth Pieces
by: Zhang, Zhe, et al.
Published: (2025)
by: Zhang, Zhe, et al.
Published: (2025)
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)
by: Cao, Jincheng, et al.
Published: (2024)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)
by: Khanh, Pham Duy, et al.
Published: (2023)
Continuation Method for Nonsmooth Model Predictive Control Using Proximal Technique
by: Shima, Ryotaro, et al.
Published: (2024)
by: Shima, Ryotaro, et al.
Published: (2024)
A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
A Proximal Method for Composite Optimization with Smooth and Convex Components
by: Uzun, Samet, et al.
Published: (2025)
by: Uzun, Samet, et al.
Published: (2025)
Linear Convergence of the Proximal Gradient Method for Composite Optimization Under the Polyak-Łojasiewicz Inequality and Its Variant
by: Kong, Qingyuan, et al.
Published: (2024)
by: Kong, Qingyuan, et al.
Published: (2024)
Enhanced Barrier-Smoothing Technique for Bilevel Optimization with Nonsmooth Mappings
by: Xu, Mengwei, et al.
Published: (2024)
by: Xu, Mengwei, et al.
Published: (2024)
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
by: Mishkin, Aaron, et al.
Published: (2024)
by: Mishkin, Aaron, et al.
Published: (2024)
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)
Penalty-Based Smoothing of Convex Nonsmooth Supremum Functions with Accelerated Inertial Dynamics
by: Adly, Samir, et al.
Published: (2026)
by: Adly, Samir, et al.
Published: (2026)
Scaled Proximal Gradient Methods for Multiobjective Optimization: Improved Linear Convergence and Nesterov's Acceleration
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)
by: Huang, Ziyu, et al.
Published: (2024)
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
by: Grazzi, Riccardo, et al.
Published: (2024)
by: Grazzi, Riccardo, et al.
Published: (2024)
Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
by: Zhou, Yiming, et al.
Published: (2024)
by: Zhou, Yiming, et al.
Published: (2024)
A Gradient Sampling Algorithm for Noisy Nonsmooth Optimization
by: Berahas, Albert S., et al.
Published: (2026)
by: Berahas, Albert S., et al.
Published: (2026)
Inertial Bregman Proximal Gradient under Partial Smoothness
by: Godeme, Jean-Jacques
Published: (2025)
by: Godeme, Jean-Jacques
Published: (2025)
Similar Items
-
Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025) -
Fast Accelerated Proximal Gradient Method with New Extrapolation Term for Multiobjective Optimization
by: Huang, Chengzhi
Published: (2025) -
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024) -
Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025) -
The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)