Cover Image

An Efficient ADMM Method for Ratio-Type Nonconvex and Nonsmooth Minimization in Sparse Recovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Lang, Huang, Nanjing
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Recovery via $\ell_p^p/\ell_q^p$ Ratio Minimization: Theory and Algorithm
by: Yu, Lang, et al.
Published: (2026)

Difference-of-Convex Elastic Net for Compressed Sensing
by: Yu, Lang, et al.
Published: (2025)

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

ADMM for Nonconvex Optimization under Minimal Continuity Assumption
by: Yuan, Ganzhao
Published: (2024)

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

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

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

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

NonOpt: Nonconvex, Nonsmooth Optimizer
by: Curtis, Frank E., 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)

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

ADMM for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2024)

Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023)

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

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)

A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
by: Jin, Jiachen, et al.
Published: (2025)

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

Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
by: Zhou, Yuan, et al.
Published: (2025)

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

Faster Stochastic ADMM for Nonsmooth Composite Convex Optimization in Hilbert Space
by: Deng, Weihua, et al.
Published: (2026)

Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
by: Zhang, Siyuan, et al.
Published: (2024)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

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

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

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

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)

An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
by: Maia, Leandro Farias, et al.
Published: (2024)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)

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

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

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

Radial Epiderivative Based Line Search Methods in Nonconvex and Nonsmooth Box-Constrained Optimization
by: Kasimbeyli, Refail, et al.
Published: (2025)

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

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

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

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

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

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

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

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)