Cover Image

Mini-batch stochastic subgradient for functional constrained optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singh, Nitesh Kumar, Necoara, Ion, Kungurtsev, Vyacheslav
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
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)

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)

Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
by: Singh, Nitesh Kumar, et al.
Published: (2024)

Random minibatch subgradient algorithms for convex problems with functional constraints
by: Nedich, Angelia, et al.
Published: (2019)

Higher-order tensor methods for minimizing difference of convex functions
by: Necoara, Ion
Published: (2024)

Moving higher-order Taylor approximations method for smooth constrained minimization problems
by: Nabou, Yassine, et al.
Published: (2024)

Convergence analysis of stochastic higher-order majorization-minimization algorithms
by: Lupu, Daniela, et al.
Published: (2021)

Random coordinate descent methods for nonseparable composite optimization
by: Chorobura, Flavia, et al.
Published: (2022)

A systematic approach to general higher-order majorization-minimization algorithms for (non)convex optimization
by: Necoara, Ion, et al.
Published: (2020)

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis
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)

Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Convergence analysis of linearized $\ell_q$ penalty methods for nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Quasi-Ergodic Control of Multi-Periodic Autoregressive Processes: Formulation and Examples
by: Kungurtsev, Vyacheslav
Published: (2025)

A Three-Tier Time-Scale Architecture for Controlling Complex Nonlinear Systems
by: Kungurtsev, Vyacheslav
Published: (2026)

Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)

The stochastic Ravine accelerated gradient method with general extrapolation coefficients
by: Attouch, Hedy, et al.
Published: (2024)

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)

A proximal subgradient algorithm for constrained multiobjective DC-type optimization
by: Van Tuyen, Nguyen, et al.
Published: (2025)

Coordinate descent methods beyond smoothness and separability
by: Chorobura, Flavia, 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)

Regularized higher-order Taylor approximation methods for nonlinear least-squares
by: Nabou, Yassine, et al.
Published: (2025)

Complexity of a linearized augmented Lagrangian method for nonconvex minimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2023)

Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization
by: Facchinei, Francisco, et al.
Published: (2023)

Multistage Stochastic Programming for Rare Event Risk Mitigation in Power Systems Management
by: Mastropietro, Daniel, et al.
Published: (2026)

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
by: Chorobura, Flavia, et al.
Published: (2025)

On Busemann subgradient methods for stochastic minimization in Hadamard spaces
by: Pischke, Nicholas
Published: (2026)

A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
by: Liu, Wei, et al.
Published: (2025)

Optimal Control of Two-Phase Membrane Problem
by: Bozorgnia, Farid, et al.
Published: (2024)

An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
by: Chorobura, Flavia, et al.
Published: (2025)

Towards Tsallis Fully Probabilistic Design
by: Kungurtsev, Vyacheslav, et al.
Published: (2026)

Inexact subgradient methods for semialgebraic functions
by: Bolte, Jérôme, et al.
Published: (2024)

Efficiency of higher-order algorithms for minimizing composite functions
by: Nabou, Yassine, et al.
Published: (2022)

Truss topology design under harmonic loads: Peak power minimization with semidefinite programming
by: Ma, Shenyuan, et al.
Published: (2024)

Parametric Semidefinite Programming: Geometry of the Trajectory of Solutions
by: Bellon, Antonio, et al.
Published: (2021)

Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
by: Kimiaei, Morteza, et al.
Published: (2025)

Trilevel and Multilevel Optimization using Monotone Operator Theory
by: Shafiei, Allahkaram, et al.
Published: (2021)

Direct-search methods for decentralized blackbox optimization
by: Bergou, El Houcine, et al.
Published: (2025)

Convergence of empirical subgradients for optimal transport-based objectives
by: Le, Tam
Published: (2026)