Antoine Godichon-Baggioni

According to our database, Antoine Godichon-Baggioni authored at least 16 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Online and offline robust multivariate linear regression.

Antoine Godichon-Baggioni, Stéphane Robin, Laure Sansonnet

Comput. Stat. Data Anal., 2026

2025

Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications.

Antoine Godichon-Baggioni, Pierre Tarrago

Trans. Mach. Learn. Res., 2025

On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations.

Antoine Godichon-Baggioni, Nicklas Werge

J. Mach. Learn. Res., 2025

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport.

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Theoretical Convergence Guarantees for Variational Autoencoders.

Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

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

Claire Boyer, Antoine Godichon-Baggioni

Comput. Optim. Appl., March, 2024

A robust model-based clustering based on the geometric median and the median covariation matrix.

Antoine Godichon-Baggioni, Stéphane Robin

Stat. Comput., February, 2024

Recursive ridge regression using second-order stochastic algorithms.

Antoine Godichon-Baggioni, Wei Lu, Bruno Portier

Comput. Stat. Data Anal., February, 2024

Online stochastic Newton methods for estimating the geometric median and applications.

Antoine Godichon-Baggioni, Wei Lu

J. Multivar. Anal., 2024

A Penalized Criterion for Selecting the Number of Clusters for K-Medians.

Antoine Godichon-Baggioni, Sobihan Surendran

J. Comput. Graph. Stat., 2024

Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.

Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff

Proceedings of the Advances in Neural Information Processing Systems 37: 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.

Claire Boyer, Antoine Godichon-Baggioni

Comput. Optim. Appl., April, 2023

Learning from time-dependent streaming data with online stochastic algorithms.

Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger

Trans. Mach. Learn. Res., 2023

2021

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

Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger

CoRR, 2021

2020

An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions.

Bernard Bercu, Antoine Godichon, Bruno Portier

SIAM J. Control. Optim., 2020

2016

Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: L^p and almost sure rates of convergence.

Antoine Godichon-Baggioni

J. Multivar. Anal., 2016