Antoine Godichon-Baggioni

Publications

Pré-publication, Document de travail (23)

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-05450879v1
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-05493562v1
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-05484300v1
Online and Offline Robust Multivariate Linear Regression Antoine Godichon-Baggioni,Stephane S. Robin,Laure Sansonnet 2025 Pré-publication, Document de travail hal-04560889v2
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-04435027v3
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-05339436v1
A Full Adagrad algorithm with O(Nd) operations Antoine Godichon-Baggioni,Wei Lu,Bruno Portier 2025 Pré-publication, Document de travail hal-04560729v2
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-05328743v1
Theoretical Convergence Guarantees for Variational Autoencoders Sobihan Surendran,Antoine Godichon-Baggioni,Sylvain Le Corff 2025 Pré-publication, Document de travail hal-04745733v3
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-04391570v3
A penalized criterion for selecting the number of clusters for K-medians Antoine Godichon-Baggioni,Sobihan Surendran 2024 Pré-publication, Document de travail hal-03771959v3
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-04584552v2
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-04308712v2
A mixture of ellipsoidal densities for 3D data modelling Denis Brazey,Antoine Godichon-Baggioni,Bruno Portier 2023 Pré-publication, Document de travail hal-04209721v1
Online stochastic Newton methods for estimating the geometric median and applications Antoine Godichon-Baggioni,Wei Lu 2023 Pré-publication, Document de travail hal-04053240v1
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications Antoine Godichon-Baggioni,Pierre Tarrago 2023 Pré-publication, Document de travail hal-04004305v1
Learning from time-dependent streaming data with online stochastic algorithms Antoine Godichon-Baggioni,Nicklas Werge,Olivier Wintenberger 2022 Pré-publication, Document de travail hal-03677328v1
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-03853744v1
Recursive ridge regression using second-order stochastic algorithms Antoine Godichon-Baggioni,Wei Lu,Bruno Portier 2022 Pré-publication, Document de travail hal-03858834v2
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data Antoine Godichon-Baggioni,Nicklas Werge,Olivier Wintenberger 2022 Pré-publication, Document de travail hal-03343481v3
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-03297132v1
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-02876141v3
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-02789763v1

Article dans une revue (12)

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data Antoine Godichon-Baggioni,Nicklas Werge,Olivier Wintenberger ESAIM: Probability and Statistics, 2023, 27, pp.482-514. ⟨10.1051/ps/2023006⟩ Article dans une revue hal-04066897v1
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions Claire Boyer,Antoine Godichon-Baggioni Computational Optimization and Applications, 2022, ⟨10.1007/s10589-022-00442-3⟩ Article dans une revue hal-03008212v5
Multi-view cluster aggregation and splitting, with an application to multi-omic breast cancer data Antoine Godichon-Baggioni,Cathy Maugis-Rabusseau,Andrea Rau Annals of Applied Statistics, 2020, 14 (2), ⟨10.1214/19-AOAS1317⟩ Article dans une revue hal-01916941v1
On the rates of convergence of Parallelized Averaged Stochastic Gradient Algorithms Antoine Godichon-Baggioni,Sofiane Saadane Statistics, 2020, 54 (3), pp.618-635. ⟨10.1080/02331888.2020.1764557⟩ Article dans une revue hal-01620943v1
An efficient stochastic Newton algorithm for parameter estimation in logistic regressions Bernard Bercu,Antoine Godichon,Bruno Portier SIAM Journal on Control and Optimization, 2020, 58 (1), pp.348-367. ⟨10.1137/19M1261717⟩ Article dans une revue hal-02103041v1
Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective Antoine Godichon-Baggioni ESAIM: Probability and Statistics, 2019, 23, pp.841-873. ⟨10.1051/ps/2019011⟩ Article dans une revue hal-01678852v1
Online estimation of the asymptotic variance for averaged stochastic gradient algorithms Antoine Godichon Journal of Statistical Planning and Inference, 2019, 203, pp.Pages 1-19. ⟨10.1016/j.jspi.2019.01.001⟩ Article dans une revue hal-01678855v1
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 Journal of Applied Statistics, 2019, 46 (1), pp.47-65. ⟨10.1080/02664763.2018.1454894⟩ Article dans une revue hal-01511574v2
An averaged projected Robbins-Monro algorithm for estimating the parameters of a truncated spherical distribution Antoine Godichon,Bruno Portier Electronic Journal of Statistics , 2017, 11 (1), pp.1890 - 1927. ⟨10.1214/17-EJS1276⟩ Article dans une revue hal-01591601v1
Online estimation of the geometric median in Hilbert spaces : non asymptotic confidence balls Hervé Cardot,Peggy Cénac,Antoine Godichon-Baggioni Annals of Statistics, 2017, 45 (2), pp.591 - 614. ⟨10.1214/16-AOS1460⟩ Article dans une revue hal-01555593v1
Fast estimation of the median covariation matrix with application to online robust principal components analysis Hervé Cardot,Antoine Godichon Test, 2017, 26 (3), pp.461-480. ⟨10.1007/s11749-016-0519-x⟩ Article dans une revue hal-01482743v1
Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: $L^p$ and almost sure rates of convergence Antoine Godichon-Baggioni Journal of Multivariate Analysis, 2016, 146, pp.209 - 222. ⟨10.1016/j.jmva.2015.09.013⟩ Article dans une revue hal-01413440v1

Communication dans un congrès (3)

Mixture models as a useful tool for identifying co-expressed genes from RNA-seq data Andrea Rau,Antoine Godichon-Baggioni,Gilles Celeux,Marie-Laure Martin-Magniette,Cathy Maugis MiMo Workshop on mixture models, Apr 2021, Online, France Communication dans un congrès hal-04173238v1
Keynote: Integrative and interactive analyses of multi-omics data Andrea Rau,Florence Jaffrezic,Denis Laloë,Sumona P. Dhara,Ava J. Udvadiaet al. JOBIM, Jul 2020, Online, France Communication dans un congrès hal-04173233v1
coseq: An R/Bioconductor package for co-expression analyses of RNA-seq data Andrea Rau,Antoine Godichon-Baggioni,Cathy Maugis-Rabusseau Plant and Animal Genomes (PAG) XXVI, Jan 2018, San Diego, California, United States Communication dans un congrès hal-04482023v1

Logiciel (1)

maskmeans Andrea Rau,Antoine Godichon-Baggioni,Cathy Maugis-Rabusseau 2019 Logiciel hal-02787882v1

Thèse (1)

Algorithmes stochastiques pour la statistique robuste en grande dimension Antoine Godichon Godichon-Baggioni Statistiques [math.ST]. Université de Bourgogne, 2016. Français. ⟨NNT : 2016DIJOS053⟩ Thèse tel-01661539v1