Subgradient sampling for nonsmooth nonconvex minimization
Fuente:
arXiv
Saved in:
| Main Authors: | Bolte, Jérôme, Le, Tam, Pauwels, Edouard |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inexact subgradient methods for semialgebraic functions
by: Bolte, Jérôme, et al.
Published: (2024)
by: Bolte, Jérôme, et al.
Published: (2024)
Bilevel gradient methods and the Morse parametric qualification condition
by: Bolte, Jérôme, et al.
Published: (2025)
by: Bolte, Jérôme, et al.
Published: (2025)
Convergence of optimizers implies eigenvalues filtering at equilibrium
by: Bolte, Jerome, et al.
Published: (2025)
by: Bolte, Jerome, et al.
Published: (2025)
Geometric and computational hardness of bilevel programming
by: Bolte, Jérôme, et al.
Published: (2024)
by: Bolte, Jérôme, et al.
Published: (2024)
A second-order-like optimizer with adaptive gradient scaling for deep learning
by: Bolte, Jérôme, et al.
Published: (2024)
by: Bolte, Jérôme, et al.
Published: (2024)
Nonsmooth nonconvex stochastic heavy ball
by: Le, Tam
Published: (2023)
by: Le, Tam
Published: (2023)
Block majorization-minimization with diminishing radius for constrained nonsmooth nonconvex optimization
by: Lyu, Hanbaek, et al.
Published: (2020)
by: Lyu, Hanbaek, et al.
Published: (2020)
A note on stationarity in constrained optimization
by: Pauwels, Edouard
Published: (2024)
by: Pauwels, Edouard
Published: (2024)
On the nature of Bregman functions
by: Pauwels, Edouard
Published: (2023)
by: Pauwels, Edouard
Published: (2023)
The adjoint state method for parametric definable optimization without smoothness or uniqueness
by: Bolte, Jérôme, et al.
Published: (2026)
by: Bolte, Jérôme, et al.
Published: (2026)
An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
by: Sempere, Gregorio M., et al.
Published: (2024)
by: Sempere, Gregorio M., et al.
Published: (2024)
Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization
by: Jin, Jiachen, et al.
Published: (2025)
by: Jin, Jiachen, et al.
Published: (2025)
Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
by: Gao, Ying, et al.
Published: (2024)
by: Gao, Ying, et al.
Published: (2024)
Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
by: Adly, Maxence, et al.
Published: (2026)
by: Adly, Maxence, et al.
Published: (2026)
An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
by: Maleknia, Morteza, et al.
Published: (2024)
by: Maleknia, Morteza, et al.
Published: (2024)
General Proximal Quasi-Newton Methods based on model functions for nonsmooth nonconvex problems
by: Jia, Xiaoxi
Published: (2025)
by: Jia, Xiaoxi
Published: (2025)
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
by: Josz, Cedric, et al.
Published: (2018)
by: Josz, Cedric, et al.
Published: (2018)
A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization
by: Bodard, Alexander, et al.
Published: (2025)
by: Bodard, Alexander, et al.
Published: (2025)
On the sequential convergence of Lloyd's algorithms
by: Portales, Léo, et al.
Published: (2024)
by: Portales, Léo, et al.
Published: (2024)
Phase retrieval via overparametrized nonconvex optimization: nonsmooth amplitude loss landscapes
by: McRae, Andrew D.
Published: (2025)
by: McRae, Andrew D.
Published: (2025)
A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)
by: Alcantara, Jan Harold, et al.
Published: (2024)
Sample complexity of optimal transport barycenters with discrete support
by: Portales, Léo, et al.
Published: (2025)
by: Portales, Léo, et al.
Published: (2025)
Derivatives of Stochastic Gradient Descent in parametric optimization
by: Iutzeler, Franck, et al.
Published: (2024)
by: Iutzeler, Franck, et al.
Published: (2024)
Universal generalization guarantees for Wasserstein distributionally robust models
by: Le, Tam, et al.
Published: (2024)
by: Le, Tam, et al.
Published: (2024)
Gradient extremals, talwegs, valleys, and directional alignment for generic gradient descent
by: Bégout, Pascal, et al.
Published: (2026)
by: Bégout, Pascal, et al.
Published: (2026)
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization
by: Lan, Guanghui, et al.
Published: (2023)
by: Lan, Guanghui, et al.
Published: (2023)
Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
by: Dolgopolik, M. V.
Published: (2023)
by: Dolgopolik, M. V.
Published: (2023)
Complexity of a linearized augmented Lagrangian method for nonconvex minimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2023)
by: Bourkhissi, Lahcen El, et al.
Published: (2023)
Subgradient Gliding Method for Nonsmooth Convex Optimization
by: Zhu, Zhihan, et al.
Published: (2026)
by: Zhu, Zhihan, et al.
Published: (2026)
Statistical Estimation of Monge Transport Maps via Brenier Potentials
by: Cazelles, Elsa, et al.
Published: (2026)
by: Cazelles, Elsa, et al.
Published: (2026)
Regularized methods via cubic model subspace minimization for nonconvex optimization
by: Bellavia, Stefania, et al.
Published: (2023)
by: Bellavia, Stefania, et al.
Published: (2023)
A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
by: Li, Shuyao, et al.
Published: (2023)
by: Li, Shuyao, et al.
Published: (2023)
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems
by: Pham, Tan Nhat, et al.
Published: (2022)
by: Pham, Tan Nhat, et al.
Published: (2022)
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
by: Gfrerer, H.
Published: (2024)
by: Gfrerer, H.
Published: (2024)
An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints
by: Hien, Le Thi Khanh, et al.
Published: (2022)
by: Hien, Le Thi Khanh, et al.
Published: (2022)
Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
by: Gösgens, Martijn, et al.
Published: (2025)
by: Gösgens, Martijn, et al.
Published: (2025)
Policy Optimization in Robust Control: Weak Convexity and Subgradient Methods
by: Watanabe, Yuto, et al.
Published: (2025)
by: Watanabe, Yuto, et al.
Published: (2025)
Federated Incremental Subgradient Method for Convex Bilevel Optimization Problems
by: Boontawee, Sudkobfa, et al.
Published: (2026)
by: Boontawee, Sudkobfa, et al.
Published: (2026)
Similar Items
-
Inexact subgradient methods for semialgebraic functions
by: Bolte, Jérôme, et al.
Published: (2024) -
Bilevel gradient methods and the Morse parametric qualification condition
by: Bolte, Jérôme, et al.
Published: (2025) -
Convergence of optimizers implies eigenvalues filtering at equilibrium
by: Bolte, Jerome, et al.
Published: (2025) -
Geometric and computational hardness of bilevel programming
by: Bolte, Jérôme, et al.
Published: (2024) -
A second-order-like optimizer with adaptive gradient scaling for deep learning
by: Bolte, Jérôme, et al.
Published: (2024)