2 Stochastic multivariate Steffensen methods. Our three-step strategy is to (a) push the convergence order of the univariate Steffensen method to its limit, (b) extend the resulting method to a multivariate setting, and then (c) randomize the multivariate algorithm.
Jun 7, 2024
Nov 28, 2022 · We will introduce two adaptive learning rates inspired by the Steffensen method, intended for use in a stochastic optimization setting and ...
Jun 15, 2023 · We will introduce two adaptive learning rates inspired by the. Steffensen method, intended for use in a stochastic optimization setting and ...
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Steffensen's method is an iterative method for numerical root-finding named after Johan Frederik Steffensen that is similar to the secant method and to Newton' ...
Missing: Stochastic | Show results with:Stochastic
We will introduce two adaptive learning rates inspired by the Steffensen method, intended for use in a stochastic optimization setting and requires no ...
We will introduce two adaptive learning rates inspired by the Steffensen method, intended for use in a stochastic optimization setting and requires no ...
Aug 9, 2024 · We will introduce two adaptive learning rates inspired by the Steffensen method, intended for use in a stochastic optimization setting and ...
For univariate loss functions, the answer is yes—the Steffensen method avoids second derivatives and is still quadratically convergent like Newton method. By ...
Dec 29, 2024 · Steffensen's method is a numerical method to find the roots of functions. It is similar to Newton's method, but, unlike Newton's, does not require derivatives.
Missing: Stochastic | Show results with:Stochastic
“Stochastic Steffensen method” is a paper by Minda Zhao Zehua Lai Lek-Heng Lim published in 2024. It has an Open Access status of “closed”. You can read and ...