May 28, 2023 · We analyze the finite-sample convergence rate of SGDM under the strongly convex settings and show that, with a large batch size, the mini-batch ...
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PDF | A new recursive algorithm of stochastic approximation type with the averaging of trajectories is investigated. Convergence with probability one is.
May 28, 2023 · Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality ... sample convergence rate ...
from publication: Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality | Stochastic gradient ...
Acceleration of stochastic gradient descent with momen- tum by averaging: finite-sample rates and asymptotic normality. arXiv preprint arXiv:2305.17665 ...
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality ... Understanding Accelerated Stochastic ...
A new recursive algorithm of stochastic approximation type with the averaging of trajectories is investigated. Convergence with probability one is proved ...
Nov 12, 2020 · Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality. View Code Notebook Add ...
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality ... asymptotic covariance matrices ...
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality. Kejie Tang, Weidong Liu, Yichen Zhang ...