Nov 3, 2022 · We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization problems.

Abstract. We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization ...

We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization problems.

Jun 22, 2021 · We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization ...

We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization problems.

This work proposes a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization problems, ...

Nov 3, 2022 · We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization ...

We study the convergence properties of SIRTR, a stochastic inexact restoration trust-region method suited for the minimization of a finite sum of continuously ...

Dec 15, 2020 · The trust-region model and acceptance rule employ both function and gradi- ent estimates (similarly to STORM). The function sample size is ...

Aug 11, 2024 · We propose a stochastic first-order trust-region method with inexact function and gradient evaluations for solving finite-sum minimization ...