Copertina

Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wei, Jiazhen, Bian, Wei
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
di: Wei, Jiazhen, et al.
Pubblicazione: (2025)

Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
di: Xia, Jingfan, et al.
Pubblicazione: (2025)

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
di: Ding, Kuangyu, et al.
Pubblicazione: (2024)

Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction
di: Royset, Johannes O.
Pubblicazione: (2024)

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
di: Shi, Jinyang, et al.
Pubblicazione: (2026)

Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
di: Zhou, Yiming, et al.
Pubblicazione: (2024)

NonOpt: Nonconvex, Nonsmooth Optimizer
di: Curtis, Frank E., et al.
Pubblicazione: (2025)

An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
di: Kornowski, Guy, et al.
Pubblicazione: (2023)

Deterministic Nonsmooth Nonconvex Optimization
di: Jordan, Michael I., et al.
Pubblicazione: (2023)

Extrapolated Hard Thresholding Algorithms with Finite Length for Composite $\ell_0$ Penalized Problems
di: Wu, Fan, et al.
Pubblicazione: (2025)

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
di: Jiang, Ruichen, et al.
Pubblicazione: (2026)

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
di: Chen, Lesi, et al.
Pubblicazione: (2023)

Distributed Nonconvex Optimization: Gradient-free Iterations and $ε$-Globally Optimal Solution
di: He, Zhiyu, et al.
Pubblicazione: (2020)

Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
di: Xiao, Nachuan, et al.
Pubblicazione: (2024)

Enhanced Barrier-Smoothing Technique for Bilevel Optimization with Nonsmooth Mappings
di: Xu, Mengwei, et al.
Pubblicazione: (2024)

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
di: Li, Jiajin, et al.
Pubblicazione: (2022)

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
di: Deng, Kangkang, et al.
Pubblicazione: (2025)

A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
di: Xiao, Nachuan, et al.
Pubblicazione: (2025)

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
di: Khanh, Pham Duy, et al.
Pubblicazione: (2024)

A Newton-Like Dynamical System for Nonsmooth and Nonconvex Optimization
di: Garrido, Juan Guillermo, et al.
Pubblicazione: (2024)

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
di: Jin, Lingzi, et al.
Pubblicazione: (2025)

Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
di: Pougkakiotis, Spyridon, et al.
Pubblicazione: (2025)

An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
di: Amaral, Vitaliano S., et al.
Pubblicazione: (2025)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
di: Zeng, Yuxuan, et al.
Pubblicazione: (2024)

On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
di: Kornowski, Guy, et al.
Pubblicazione: (2024)

Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
di: Xiao, Nachuan, et al.
Pubblicazione: (2023)

Guaranteeing Both Consensus and Optimality in Decentralized Nonconvex Optimization with Multiple Local Updates
di: Liu, Jie, et al.
Pubblicazione: (2025)

Decentralized Nonsmooth Nonconvex Optimization with Client Sampling
di: Chen, Xinyan, et al.
Pubblicazione: (2026)

Private Zeroth-Order Nonsmooth Nonconvex Optimization
di: Zhang, Qinzi, et al.
Pubblicazione: (2024)

Radial Epiderivative Based Fritz John and KKT Conditions in Nonsmooth Nonconvex Optimization
di: Kasimbeyli, Refail, et al.
Pubblicazione: (2025)

Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
di: Marrinan, Luke, et al.
Pubblicazione: (2023)

Learning-rate-free Momentum SGD with Reshuffling Converges in Nonsmooth Nonconvex Optimization
di: Hu, Xiaoyin, et al.
Pubblicazione: (2024)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
di: Chen, Ziyi, et al.
Pubblicazione: (2025)

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
di: Wei, Jiazhen, et al.
Pubblicazione: (2025)

First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
di: Jia, Zhichao, et al.
Pubblicazione: (2022)

Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
di: Kornowski, Guy, et al.
Pubblicazione: (2024)

Linearly Convergent Algorithms for Nonsmooth Problems with Unknown Smooth Pieces
di: Zhang, Zhe, et al.
Pubblicazione: (2025)

Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
di: Sahinoglu, Emre, et al.
Pubblicazione: (2024)

Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
di: Liu, Tuo, et al.
Pubblicazione: (2025)

An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball
di: Wang, Hao, et al.
Pubblicazione: (2021)