Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Singh, Nitesh Kumar, Necoara, Ion |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic subgradient for composite optimization with functional constraints
by: Necoara, Ion, et al.
Published: (2022)
by: Necoara, Ion, et al.
Published: (2022)
A stochastic moving ball approximation method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)
by: Singh, Nitesh Kumar, et al.
Published: (2024)
A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2025)
by: Singh, Nitesh Kumar, et al.
Published: (2025)
Mini-batch stochastic subgradient for functional constrained optimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)
by: Singh, Nitesh Kumar, 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)
Higher-order tensor methods for minimizing difference of convex functions
by: Necoara, Ion
Published: (2024)
by: Necoara, Ion
Published: (2024)
Random minibatch subgradient algorithms for convex problems with functional constraints
by: Nedich, Angelia, et al.
Published: (2019)
by: Nedich, Angelia, et al.
Published: (2019)
Convergence analysis of linearized $\ell_q$ penalty methods for nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
A systematic approach to general higher-order majorization-minimization algorithms for (non)convex optimization
by: Necoara, Ion, et al.
Published: (2020)
by: Necoara, Ion, et al.
Published: (2020)
Regularized higher-order Taylor approximation methods for nonlinear least-squares
by: Nabou, Yassine, et al.
Published: (2025)
by: Nabou, Yassine, et al.
Published: (2025)
Complexity of linearized quadratic penalty for optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2024)
by: Bourkhissi, Lahcen El, et al.
Published: (2024)
Moving higher-order Taylor approximations method for smooth constrained minimization problems
by: Nabou, Yassine, et al.
Published: (2024)
by: Nabou, Yassine, et al.
Published: (2024)
Random coordinate descent methods for nonseparable composite optimization
by: Chorobura, Flavia, et al.
Published: (2022)
by: Chorobura, Flavia, et al.
Published: (2022)
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)
An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization
by: Tondji, Lionel, et al.
Published: (2025)
by: Tondji, Lionel, et al.
Published: (2025)
Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)
by: Nabou, Yassine, et al.
Published: (2024)
Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks
by: Lupu, Daniela, et al.
Published: (2024)
by: Lupu, Daniela, et al.
Published: (2024)
Coordinate descent methods beyond smoothness and separability
by: Chorobura, Flavia, et al.
Published: (2024)
by: Chorobura, Flavia, et al.
Published: (2024)
Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
by: Wang, Ruyu, et al.
Published: (2023)
by: Wang, Ruyu, et al.
Published: (2023)
Signed tropical halfspaces and convexity
by: Loho, Georg, et al.
Published: (2022)
by: Loho, Georg, et al.
Published: (2022)
An adaptive proximal safeguarded augmented Lagrangian method for nonsmooth DC problems with convex constraints
by: Kanzow, Christian, et al.
Published: (2025)
by: Kanzow, Christian, et al.
Published: (2025)
Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis
by: Nabou, Yassine, et al.
Published: (2025)
by: Nabou, Yassine, et al.
Published: (2025)
Convergence analysis of stochastic higher-order majorization-minimization algorithms
by: Lupu, Daniela, et al.
Published: (2021)
by: Lupu, Daniela, et al.
Published: (2021)
Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)
by: Necoara, I., et al.
Published: (2021)
Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
by: Chorobura, Flavia, et al.
Published: (2025)
by: Chorobura, Flavia, et al.
Published: (2025)
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)
Solving mathematical programs with complementarity constraints arising in nonsmooth optimal control
by: Nurkanović, Armin, et al.
Published: (2023)
by: Nurkanović, Armin, et al.
Published: (2023)
Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization
by: Jin, Jiachen, et al.
Published: (2025)
by: Jin, Jiachen, et al.
Published: (2025)
An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
by: Chorobura, Flavia, et al.
Published: (2025)
by: Chorobura, Flavia, et al.
Published: (2025)
Relations between nonsmooth vector variational inequalities and nonsmooth vector optimization problems on Hadamard manifold in terms of bifunction
by: Singh, Nagendra, et al.
Published: (2024)
by: Singh, Nagendra, et al.
Published: (2024)
A multilevel proximal trust-region method for nonsmooth optimization with applications
by: Baraldi, Robert, et al.
Published: (2025)
by: Baraldi, Robert, et al.
Published: (2025)
Multi-cut stochastic approximation methods for solving stochastic convex composite optimization
by: Liang, Jiaming, et al.
Published: (2025)
by: Liang, Jiaming, et al.
Published: (2025)
A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization
by: Nishioka, Akatsuki, et al.
Published: (2023)
by: Nishioka, Akatsuki, et al.
Published: (2023)
Frank--Wolfe algorithms for piecewise star-convex functions with a nonsmooth difference-of-convex structure
by: Millán, R. Díaz, et al.
Published: (2023)
by: Millán, R. Díaz, et al.
Published: (2023)
Universal nonmonotone line search method for nonconvex multiobjective optimization problems with convex constraints
by: Pinheiro, Maria Eduarda, et al.
Published: (2024)
by: Pinheiro, Maria Eduarda, et al.
Published: (2024)
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
by: Yamakawa, Yuya, et al.
Published: (2026)
by: Yamakawa, Yuya, et al.
Published: (2026)
Distributionally robust halfspace depth
by: Ivanovs, Jevgenijs, et al.
Published: (2021)
by: Ivanovs, Jevgenijs, et al.
Published: (2021)
On the approximation error for approximating convex bodies using multiobjective optimization
by: Löhne, Andreas, et al.
Published: (2021)
by: Löhne, Andreas, et al.
Published: (2021)
Efficiency of higher-order algorithms for minimizing composite functions
by: Nabou, Yassine, et al.
Published: (2022)
by: Nabou, Yassine, et al.
Published: (2022)
Similar Items
-
Stochastic subgradient for composite optimization with functional constraints
by: Necoara, Ion, et al.
Published: (2022) -
A stochastic moving ball approximation method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2024) -
A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2025) -
Mini-batch stochastic subgradient for functional constrained optimization
by: Singh, Nitesh Kumar, 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)