Global convergence of the subgradient method for robust signal recovery
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Zesheng, Lai, Lexiao, Li, Tiansheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Projected subgradient methods for paraconvex optimization: Application to robust low-rank matrix recovery
by: Rahimi, Morteza, et al.
Published: (2024)
by: Rahimi, Morteza, et al.
Published: (2024)
A mirror inertial forward-reflected-backward splitting: Global convergence and linesearch extension beyond convexity and Lipschitz smoothness
by: Wang, Ziyuan, et al.
Published: (2022)
by: Wang, Ziyuan, et al.
Published: (2022)
A note on the convergence of deterministic gradient sampling in nonsmooth optimization
by: Gebken, Bennet
Published: (2023)
by: Gebken, Bennet
Published: (2023)
(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
by: Ghaderi, Susan, et al.
Published: (2025)
by: Ghaderi, Susan, et al.
Published: (2025)
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
by: Vervliet, Nico, et al.
Published: (2020)
by: Vervliet, Nico, et al.
Published: (2020)
Nonmonotone subgradient methods based on a local descent lemma
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)
A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
by: Ahookhosh, Masoud, et al.
Published: (2019)
by: Ahookhosh, Masoud, et al.
Published: (2019)
Characterizations of the Aubin property of the KKT-mapping in composite optimization by SC derivatives and quadratic bundles
by: Gfrerer, Helmut, et al.
Published: (2026)
by: Gfrerer, Helmut, et al.
Published: (2026)
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
by: Latafat, Puya, et al.
Published: (2019)
by: Latafat, Puya, et al.
Published: (2019)
Stationarity in nonsmooth optimization between geometrical motivation and topological relevance
by: Shikhman, Vladimir
Published: (2024)
by: Shikhman, Vladimir
Published: (2024)
Optimization Problems with Difference of Tangentially Convex Functions under Uncertainty
by: Mashkoorzadeh, Feryal, et al.
Published: (2026)
by: Mashkoorzadeh, Feryal, et al.
Published: (2026)
Finding directional stationary points of DC programs
by: Thi, Hoai An Le, et al.
Published: (2026)
by: Thi, Hoai An Le, et al.
Published: (2026)
$\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy
by: Cong, Xiaoda, et al.
Published: (2025)
by: Cong, Xiaoda, et al.
Published: (2025)
Convergence Rates for the Alternating Minimization Algorithm in Structured Nonsmooth and Nonconvex Optimization
by: Bento, Glaydston C., et al.
Published: (2026)
by: Bento, Glaydston C., et al.
Published: (2026)
The Dantzig Selector: Sparse Signals Recovery via l_p-q Minimization
by: Li, Jie, et al.
Published: (2023)
by: Li, Jie, et al.
Published: (2023)
Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity
by: Latafat, Puya, et al.
Published: (2021)
by: Latafat, Puya, et al.
Published: (2021)
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms
by: Themelis, Andreas, et al.
Published: (2020)
by: Themelis, Andreas, et al.
Published: (2020)
On the existence and the stability of solutions in nonconvex vector optimization
by: Van Nghi, Tran, et al.
Published: (2025)
by: Van Nghi, Tran, et al.
Published: (2025)
Approximate optimality conditions and sensitivity analysis in nearly convex optimization
by: Van Tuyen, Nguyen, et al.
Published: (2024)
by: Van Tuyen, Nguyen, et al.
Published: (2024)
An inexact proximal MM method for a class of nonconvex composite image reconstruction models
by: Li, Bujin, et al.
Published: (2024)
by: Li, Bujin, et al.
Published: (2024)
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
by: Behmandpoor, Pourya, et al.
Published: (2022)
by: Behmandpoor, Pourya, et al.
Published: (2022)
Clarke's tangent cones, subgradients, optimality conditions and the Lipschitzness at infinity
by: Nguyen, Minh Tung, et al.
Published: (2022)
by: Nguyen, Minh Tung, et al.
Published: (2022)
Noisy phase retrieval from subgaussian measurements
by: Peng, Haiyang, et al.
Published: (2024)
by: Peng, Haiyang, et al.
Published: (2024)
Perturbation analysis of a class of composite optimization problems
by: Tang, Peipei, et al.
Published: (2024)
by: Tang, Peipei, et al.
Published: (2024)
Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model
by: Tao, Ting, et al.
Published: (2024)
by: Tao, Ting, et al.
Published: (2024)
A truncated epsilon-subdifferential method for global DC optimization
by: Bagirov, Adil M., et al.
Published: (2025)
by: Bagirov, Adil M., et al.
Published: (2025)
Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
by: Kim, Jihun
Published: (2025)
by: Kim, Jihun
Published: (2025)
Isolated calmness of perturbation mappings in generalized nonlinear programming and local superlinear convergence of Newton-type methods
by: Benko, Matúš, et al.
Published: (2024)
by: Benko, Matúš, et al.
Published: (2024)
Moreau envelope and proximal-point methods under the lens of high-order regularization
by: Kabgani, Alireza, et al.
Published: (2025)
by: Kabgani, Alireza, et al.
Published: (2025)
Identifiability, the KL property in metric spaces, and subgradient curves
by: Lewis, Adrian, et al.
Published: (2022)
by: Lewis, Adrian, et al.
Published: (2022)
Optimality conditions via exact penalty functions
by: Ivanov, Vsevolod Ivanov
Published: (2026)
by: Ivanov, Vsevolod Ivanov
Published: (2026)
Analyzing the speed of convergence in nonsmooth optimization via the Goldstein subdifferential with application to descent methods
by: Gebken, Bennet
Published: (2024)
by: Gebken, Bennet
Published: (2024)
Semi-analytical Approach to Trajectory Optimization for Stacker Cranes Regarding Energy Saving
by: Zöllner, R., et al.
Published: (2025)
by: Zöllner, R., et al.
Published: (2025)
Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)
by: Atenas, Felipe
Published: (2025)
On Characterizations of $σ$-Quasiconvexity
by: Bao, Nguyen Xuan Duy, et al.
Published: (2025)
by: Bao, Nguyen Xuan Duy, et al.
Published: (2025)
Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
by: Li, Hanyang, et al.
Published: (2025)
by: Li, Hanyang, et al.
Published: (2025)
First-order majorization-minimization meets high-order majorant: Boosted inexact high-order forward-backward method
by: Kabgani, Alireza, et al.
Published: (2025)
by: Kabgani, Alireza, et al.
Published: (2025)
Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods
by: Ahookhosh, Masoud, et al.
Published: (2026)
by: Ahookhosh, Masoud, et al.
Published: (2026)
Exact penalty functions in optimization with unbounded constraint sets
by: Jiao, Liguo, et al.
Published: (2025)
by: Jiao, Liguo, et al.
Published: (2025)
Weak sharp minima at infinity and solution stability in mathematical programming via asymptotic analysis
by: Lara, Felipe, et al.
Published: (2024)
by: Lara, Felipe, et al.
Published: (2024)
Similar Items
-
Projected subgradient methods for paraconvex optimization: Application to robust low-rank matrix recovery
by: Rahimi, Morteza, et al.
Published: (2024) -
A mirror inertial forward-reflected-backward splitting: Global convergence and linesearch extension beyond convexity and Lipschitz smoothness
by: Wang, Ziyuan, et al.
Published: (2022) -
A note on the convergence of deterministic gradient sampling in nonsmooth optimization
by: Gebken, Bennet
Published: (2023) -
(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
by: Ghaderi, Susan, et al.
Published: (2025) -
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
by: Vervliet, Nico, et al.
Published: (2020)