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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)

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

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Computational Optimization and Applications 84 (3) 921 (2023)

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

Sébastien Gadat and Fabien Panloup
Stochastic Processes and their Applications 156 312 (2023)

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)

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)