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Cited article:

Non-asymptotic analysis of Stochastic approximation algorithms for streaming data

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ESAIM: Probability and Statistics 27 482 (2023)
https://doi.org/10.1051/ps/2023006

On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions

Claire Boyer and Antoine Godichon-Baggioni
Computational Optimization and Applications 84 (3) 921 (2023)
https://doi.org/10.1007/s10589-022-00442-3

Optimal non-asymptotic analysis of the Ruppert–Polyak averaging stochastic algorithm

Sébastien Gadat and Fabien Panloup
Stochastic Processes and their Applications 156 312 (2023)
https://doi.org/10.1016/j.spa.2022.11.012

Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures

Bernard Bercu and Jérémie Bigot
The Annals of Statistics 49 (2) (2021)
https://doi.org/10.1214/20-AOS1987

An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions

Bernard Bercu, Antoine Godichon and Bruno Portier
SIAM Journal on Control and Optimization 58 (1) 348 (2020)
https://doi.org/10.1137/19M1261717