Antoine Godichon-Baggioni

Orcid: 0000-0002-2399-3792

According to our database1, Antoine Godichon-Baggioni authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2019
2020
2021
2022
2023
2024
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Links

Online presence:

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Bibliography

2024
Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Comput. Optim. Appl., March, 2024

A robust model-based clustering based on the geometric median and the median covariation matrix.
Stat. Comput., February, 2024

Recursive ridge regression using second-order stochastic algorithms.
Comput. Stat. Data Anal., February, 2024

Online stochastic Newton methods for estimating the geometric median and applications.
J. Multivar. Anal., 2024

Theoretical Convergence Guarantees for Variational Autoencoders.
CoRR, 2024

Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Comput. Optim. Appl., April, 2023

Learning from time-dependent streaming data with online stochastic algorithms.
Trans. Mach. Learn. Res., 2023

2021
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data.
CoRR, 2021

2020
An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions.
SIAM J. Control. Optim., 2020

2016
Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: L<sup>p</sup> and almost sure rates of convergence.
J. Multivar. Anal., 2016


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