Mini-batch stochastic subgradient for functional constrained optimization
From MaRDI portal
Publication:6565290
DOI10.1080/02331934.2023.2189015zbMath1542.65069MaRDI QIDQ6565290
Nitesh Kumar Singh, Ion Necoara, Vyacheslav Kungurtsev
Publication date: 1 July 2024
Published in: Optimization (Search for Journal in Brave)
Numerical mathematical programming methods (65K05) Convex programming (90C25) Stochastic programming (90C15)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On optimal probabilities in stochastic coordinate descent methods
- The solution path of the generalized lasso
- Lectures on convex optimization
- The dual and degrees of freedom of linearly constrained generalized Lasso
- Convergence of stochastic proximal gradient algorithm
- General convergence analysis of stochastic first-order methods for composite optimization
- Random minibatch subgradient algorithms for convex problems with functional constraints
- Linear convergence of first order methods for non-strongly convex optimization
- Algorithms for Fitting the Constrained Lasso
- Robust Stochastic Approximation Approach to Stochastic Programming
- Acceleration of Stochastic Approximation by Averaging
- RSG: Beating Subgradient Method without Smoothness and Strong Convexity
- Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization
- Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC
- Minimization of unsmooth functionals
- A Stochastic Approximation Method
Related Items (1)
This page was built for publication: Mini-batch stochastic subgradient for functional constrained optimization