Image de couverture de livre

A Projected Stochastic Gradient Method for Finite-Sum Problems with Linear Equality Constraints

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jerinkic, Natasa Krklec, Morini, Benedetta, Yousefi, Mahsa
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

IPAS: An Adaptive Sample Size Method for Weighted Finite Sum Problems with Linear Equality Constraints
par: Krejić, Nataša, et autres
Publié: (2025)

SLiSeS: Subsampled Line Search Spectral Gradient Method for Finite Sums
par: Bellavia, Stefania, et autres
Publié: (2023)

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
par: Krejić, Nataša, et autres
Publié: (2025)

AN-SPS: Adaptive Sample Size Nonmonotone Line Search Spectral Projected Subgradient Method for Convex Constrained Optimization Problems
par: Jerinkić, Nataša Krklec, et autres
Publié: (2022)

SMOP: Stochastic trust region method for multi-objective problems
par: Krejić, Nataša, et autres
Publié: (2025)

AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
par: Krejić, Nataša, et autres
Publié: (2025)

A non-monotone trust-region method with noisy oracles and additional sampling
par: Krejic, Natasa, et autres
Publié: (2023)

Fully stochastic trust-region methods with Barzilai-Borwein steplengths
par: Bellavia, Stefania, et autres
Publié: (2024)

ASMOP: Additional sampling stochastic trust region method for multi-objective problems
par: Jerinkić, Nataša Krklec, et autres
Publié: (2025)

Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
par: Gao, Hongchang
Publié: (2022)

A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
par: Qiu, Chenyang, et autres
Publié: (2025)

Primal-Dual Bundle Methods for Linear Equality-Constrained Problems
par: Zheng, Zhuoqing, et autres
Publié: (2025)

A variable dimension sketching strategy for nonlinear least-squares
par: Bellavia, Stefania, et autres
Publié: (2025)

Projected Stochastic Momentum Methods for Nonlinear Equality-Constrained Optimization for Machine Learning
par: Wang, Qi, et autres
Publié: (2026)

Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems
par: Zhong, Yanjie, et autres
Publié: (2024)

Stochastic Linear-quadratic Control Problems with Affine Constraints
par: Gou, Zhun, et autres
Publié: (2022)

Method with Batching for Stochastic Finite-Sum Variational Inequalities in Non-Euclidean Setting
par: Pichugin, Alexander, et autres
Publié: (2024)

Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities
par: Pichugin, Alexander, et autres
Publié: (2024)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
par: Bourkhissi, Lahcen El, et autres
Publié: (2025)

A Successive Gap Constraint Linearization Method for Optimal Control Problems with Equilibrium Constraints
par: Lin, Kangyu, et autres
Publié: (2024)

Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
par: Bellavia, Stefania, et autres
Publié: (2023)

Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
par: Rajoriya, Vaibhav, et autres
Publié: (2025)

Convergence Analysis via ODE Approach for Convex Optimization with Linear Equality Constraints
par: Ishii, Chise, et autres
Publié: (2026)

On the Convergence and Complexity of the Stochastic Central Finite-Difference Based Gradient Estimation Methods
par: Bollapragada, Raghu, et autres
Publié: (2025)

Convergence of Policy Gradient for Stochastic Linear-Quadratic Control Problem in Infinite Horizon
par: Zhang, Xinpei, et autres
Publié: (2024)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
par: Wang, Qingsong, et autres
Publié: (2024)

Sequential Quadratic Optimization for Solving Expectation Equality Constrained Stochastic Optimization Problems
par: Shen, Haoming, et autres
Publié: (2025)

Appointment scheduling model in healthcare using clustering algorithms
par: Yousefi, Niloofar, et autres
Publié: (2019)

Physics-Informed Neural Networks with Hard Linear Equality Constraints
par: Chen, Hao, et autres
Publié: (2024)

Aggregation of Bilinear Bipartite Equality Constraints and its Application to Structural Model Updating Problem
par: Dey, Santanu S, et autres
Publié: (2024)

Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks
par: Solodkin, Vladimir, et autres
Publié: (2024)

Linear-Quadratic Zero-Sum Stochastic Differential Game with Partial Observation
par: Yu, Zhiyong, et autres
Publié: (2025)

Variance Reduced Random Relaxed Projection Method for Constrained Finite-sum Minimization Problems
par: Yang, Zhichun, et autres
Publié: (2022)

Bridging Constraints and Stochasticity: A Fully First-Order Method for Stochastic Bilevel Optimization with Linear Constraints
par: Phan, Cac, et autres
Publié: (2025)

An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
par: Qiu, Chenyang, et autres
Publié: (2025)

Day-Ahead Offering for Virtual Power Plants: A Stochastic Linear Programming Reformulation and Projected Subgradient Method
par: Meng, Weiqi, et autres
Publié: (2026)

Inexact Restoration via random models for unconstrained noisy optimization
par: Morini, Benedetta, et autres
Publié: (2024)

Robust Optimization Approach for Solving Uncertain Multiobjective Optimization Problems Using the Projected Gradient Method
par: Kumar, Shubham, et autres
Publié: (2025)

Dual Hierarchical Least-Squares Programming with Equality Constraints
par: Pfeiffer, Kai
Publié: (2025)

Importance Sampling in Expensive Finite-Sum Optimization via Contextual Bandit Methods
par: Menickelly, Matt
Publié: (2026)