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Online robust covariance matrix estimation and outlier detection
Paul Guillot
,
Antoine Godichon-Baggioni
,
Stephane S. Robin
,
Laure Sansonnet
2026
Pré-publication, Document de travail
hal-05450879
v1
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Complexity reduction in online stochastic Newton methods with potential O(N d) total cost
Antoine Godichon-Baggioni
,
Bruno Portier
,
Guillaume Sallé
2026
Pré-publication, Document de travail
hal-05493562
v1
|
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Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms
Antoine Godichon-Baggioni
,
Gabriel Lang
,
Sylvain Le Corff
,
Julien Stoehr
,
Sobihan Surendran
2026
Pré-publication, Document de travail
hal-05484300
v1
|
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Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
,
Adeline Fermanian
,
Antoine Godichon-Baggioni
,
Sylvain Le Corff
2025
Pré-publication, Document de travail
hal-04435027
v3
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Online and Offline Robust Multivariate Linear Regression
Antoine Godichon-Baggioni
,
Stephane S. Robin
,
Laure Sansonnet
2025
Pré-publication, Document de travail
hal-04560889
v2
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Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Ferdinand Genans
,
Antoine Godichon-Baggioni
,
François-Xavier Vialard
,
Olivier Wintenberger
2025
Pré-publication, Document de travail
hal-05339436
v1
|
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Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
Ferdinand Genans
,
Antoine Godichon-Baggioni
,
François-Xavier Vialard
,
Olivier Wintenberger
2025
Pré-publication, Document de travail
hal-05328743
v1
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A Full Adagrad algorithm with O(Nd) operations
Antoine Godichon-Baggioni
,
Wei Lu
,
Bruno Portier
2025
Pré-publication, Document de travail
hal-04560729
v2
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Theoretical Convergence Guarantees for Variational Autoencoders
Sobihan Surendran
,
Antoine Godichon-Baggioni
,
Sylvain Le Corff
2025
Pré-publication, Document de travail
hal-04745733
v3
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A penalized criterion for selecting the number of clusters for K-medians
Antoine Godichon-Baggioni
,
Sobihan Surendran
2024
Pré-publication, Document de travail
hal-03771959
v3
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Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
Antoine Godichon-Baggioni
,
Wei Lu
,
Bruno Portier
2025
Pré-publication, Document de travail
hal-04391570
v3
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On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
Antoine Godichon-Baggioni
,
Nicklas Werge
2024
Pré-publication, Document de travail
hal-04308712
v2
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Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
Ferdinand Genans
,
Antoine Godichon-Baggioni
,
François-Xavier Vialard
,
Olivier Wintenberger
2024
Pré-publication, Document de travail
hal-04584552
v2
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A mixture of ellipsoidal densities for 3D data modelling
Denis Brazey
,
Antoine Godichon-Baggioni
,
Bruno Portier
2023
Pré-publication, Document de travail
hal-04209721
v1
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Online stochastic Newton methods for estimating the geometric median and applications
Antoine Godichon-Baggioni
,
Wei Lu
2023
Pré-publication, Document de travail
hal-04053240
v1
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Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
Antoine Godichon-Baggioni
,
Pierre Tarrago
2023
Pré-publication, Document de travail
hal-04004305
v1
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Learning from time-dependent streaming data with online stochastic algorithms
Antoine Godichon-Baggioni
,
Nicklas Werge
,
Olivier Wintenberger
2022
Pré-publication, Document de travail
hal-03677328
v1
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A robust model-based clustering based on the geometric median and the Median Covariation Matrix
Antoine Godichon-Baggioni
,
Stephane S. Robin
2022
Pré-publication, Document de travail
(preprint/prepublication)
hal-03853744
v1
|
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Recursive ridge regression using second-order stochastic algorithms
Antoine Godichon-Baggioni
,
Wei Lu
,
Bruno Portier
2022
Pré-publication, Document de travail
hal-03858834
v2
|
|
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Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data
Antoine Godichon-Baggioni
,
Nicklas Werge
,
Olivier Wintenberger
2022
Pré-publication, Document de travail
hal-03343481
v3
|
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Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
Antoine Godichon-Baggioni
2021
Pré-publication, Document de travail
hal-03297132
v1
|
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An efficient Averaged Stochastic Gauss-Newton algorithm for estimating parameters of non linear regressions models
Peggy Cénac
,
Antoine Godichon-Baggioni
,
Bruno Portier
2020
Pré-publication, Document de travail
hal-02876141
v3
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Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data
Antoine Godichon-Baggioni
,
Cathy Maugis-Rabusseau
,
Andrea Rau
2018
Pré-publication, Document de travail
(preprint/prepublication)
hal-02789763
v1
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