Antoine Godichon-Baggioni

17 papers A* 1A 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online and offline robust multivariate linear regression.
Comput. Stat. Data Anal.
Antoine Godichon-Baggioni, Stéphane Robin, Laure Sansonnet
2025 J jnl
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications.
Trans. Mach. Learn. Res.
Antoine Godichon-Baggioni, Pierre Tarrago
2025 J jnl
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations.
J. Mach. Learn. Res.
Antoine Godichon-Baggioni, Nicklas Werge
2025 A conf
Theoretical Convergence Guarantees for Variational Autoencoders.
AISTATS
Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff
2024 J jnl
A Penalized Criterion for Selecting the Number of Clusters for K-Medians.
J. Comput. Graph. Stat.
Antoine Godichon-Baggioni, Sobihan Surendran
2024 J jnl
A robust model-based clustering based on the geometric median and the median covariation matrix.
Stat. Comput.
Antoine Godichon-Baggioni, Stéphane Robin
2024 J jnl
Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Comput. Optim. Appl.
Claire Boyer, Antoine Godichon-Baggioni
2024 A* conf
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
NeurIPS
Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff
2024 J jnl
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation.
CoRR
Sobihan Surendran, Antoine Godichon-Baggioni, Adeline Fermanian, Sylvain Le Corff
2024 J jnl
Online stochastic Newton methods for estimating the geometric median and applications.
J. Multivar. Anal.
Antoine Godichon-Baggioni, Wei Lu
2024 J jnl
Recursive ridge regression using second-order stochastic algorithms.
Comput. Stat. Data Anal.
Antoine Godichon-Baggioni, Wei Lu, Bruno Portier
2024 J jnl
Theoretical Convergence Guarantees for Variational Autoencoders.
CoRR
Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff
2023 J jnl
Learning from time-dependent streaming data with online stochastic algorithms.
Trans. Mach. Learn. Res.
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
2023 J jnl
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Comput. Optim. Appl.
Claire Boyer, Antoine Godichon-Baggioni
2022 J jnl
Learning from time-dependent streaming data with online stochastic algorithms.
CoRR
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
2021 J jnl
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data.
CoRR
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
2016 J jnl
Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: L
J. Multivar. Anal.
Antoine Godichon-Baggioni