Cover Image

Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Li, Morigi, Serena, Ng, Michael K., Wen, You-wei
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 90C26, 90C90, 65K10, 49N45,
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Penalty Interior-Point Method Fails to Converge
by: Leyffer, Sven
Published: (2003)

Projected gradient descent accumulates at Bouligand stationary points
by: Olikier, Guillaume, et al.
Published: (2024)

A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)

Convergence analysis of a primal-dual optimization-by-continuation algorithm
by: Loris, Ignace, et al.
Published: (2023)

Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
by: Wu, Zhongming, et al.
Published: (2024)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)

ResQPASS: an algorithm for bounded variable linear least squares with asymptotic Krylov convergence
by: Symoens, Bas, et al.
Published: (2023)

A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems
by: Cai, Yubo, et al.
Published: (2026)

Inf-Sup neural networks for high-dimensional elliptic PDE problems
by: Huo, Xiaokai, et al.
Published: (2024)

Computing the Proximal Operator of the $q$-th Power of the $\ell_{1,q}$-norm for Group Sparsity
by: Lin, Rongrong, et al.
Published: (2024)

A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
by: Monteiro, Renato D. C., et al.
Published: (2024)

Calibration for minimal surfaces with free boundary and Cheeger-type problems
by: Bouchitté, Guy, et al.
Published: (2025)

Tight Error Bounds for the Sign-Constrained Stiefel Manifold
by: Chen, Xiaojun, et al.
Published: (2022)

Stochastic Control Methods for Optimization
by: Qiu, Jinniao
Published: (2026)

Discovering new phases via computing second-order stationary states of Landau-Brazovskii model
by: Bao, Chenglong, et al.
Published: (2026)

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
by: He, Yitong, et al.
Published: (2025)

On the Global Convergence of Particle Swarm Optimization Methods
by: Huang, Hui, et al.
Published: (2022)

A Convergent ADMM Algorithm for Grain Boundary Energy Minimization
by: Wu, Yue, et al.
Published: (2024)

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)

Consensus-Based Optimization Methods Converge Globally
by: Fornasier, Massimo, et al.
Published: (2021)

A Scale-Shape Dual Newton Method for Entropic Least Squares
by: Barnfield, Nicholas, et al.
Published: (2026)

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
by: Fornasier, Massimo, et al.
Published: (2021)

Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds
by: Ding, Wentao, et al.
Published: (2024)

An Inexact Regularized Proximal Newton Method without Line Search
by: Dahl, Simeon vom, et al.
Published: (2024)

Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)

A simple iterative algorithm for maxcut
by: Shao, Sihong, et al.
Published: (2018)

Continuous iterative algorithms for anti-Cheeger cut
by: Shao, Sihong, et al.
Published: (2021)

Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Convergence rates for ensemble-based solutions to optimal control of uncertain dynamical systems
by: Melnikov, Olena, et al.
Published: (2024)

AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
by: Krejić, Nataša, et al.
Published: (2025)

A Trust Region Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
by: Ansary, Md Abu Talhamainuddin
Published: (2024)

Adaptive Preconditioned Gradient Descent with Energy
by: Liu, Hailiang, et al.
Published: (2023)

Sublinear Scalarizations for Proper and Approximate Proper Efficient Points in Nonconvex Vector Optimization
by: García-Castaño, Fernando, et al.
Published: (2024)

Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)

Generalized Steepest Descent Methods on Riemannian Manifolds and Hilbert Spaces: Convergence Analysis and Stochastic Extensions
by: A., Rashid, et al.
Published: (2025)

A double iteratively reweighted algorithm for solving group sparse nonconvex optimization models
by: Nie, Wanqin, et al.
Published: (2025)

Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)

Understanding the Douglas-Rachford splitting method through the lenses of Moreau-type envelopes
by: Atenas, Felipe
Published: (2023)

A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
by: Aguirre, Jacob, et al.
Published: (2025)

Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
by: Li, Hanyang, et al.
Published: (2025)