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Antoine Godichon-Baggioni
Antoine Godichon-Baggioni
Laboratoire de Probabilités, Statistique et Modélisation
Verified email at sorbonne-universite.fr - Homepage
Title
Cited by
Cited by
Year
Online estimation of the geometric median in Hilbert spaces: Nonasymptotic confidence balls
H Cardot, P Cénac, A Godichon-Baggioni
542017
Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data
A Godichon-Baggioni, C Maugis-Rabusseau, A Rau
Journal of Applied Statistics 46 (1), 47-65, 2019
402019
Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: Lp and almost sure rates of convergence
A Godichon-Baggioni
Journal of Multivariate Analysis 146, 209-222, 2016
402016
Fast estimation of the median covariation matrix with application to online robust principal components analysis
H Cardot, A Godichon-Baggioni
Test 26 (3), 461-480, 2017
28*2017
On the rates of convergence of parallelized averaged stochastic gradient algorithms
A Godichon-Baggioni, S Saadane
Statistics 54 (3), 618-635, 2020
19*2020
An efficient stochastic newton algorithm for parameter estimation in logistic regressions
B Bercu, A Godichon, B Portier
SIAM Journal on Control and Optimization 58 (1), 348-367, 2020
142020
Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective
A Godichon-Baggioni
ESAIM: Probability and Statistics 23, 841-873, 2019
14*2019
On the asymptotic rate of convergence of stochastic newton algorithms and their weighted averaged versions
C Boyer, A Godichon-Baggioni
Computational Optimization and Applications, 1-52, 2022
122022
Online estimation of the asymptotic variance for averaged stochastic gradient algorithms
A Godichon-Baggioni
Journal of Statistical Planning and Inference 203, 1-19, 2019
10*2019
An averaged projected robbins-monro algorithm for estimating the parameters of a truncated spherical distribution
A Godichon-Baggioni, B Portier
72017
An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of non linear regressions models
P Cénac, A Godichon-Baggioni, B Portier
arXiv preprint arXiv:2006.12920, 2020
62020
Non-asymptotic analysis of stochastic approximation algorithms for streaming data
A Godichon-Baggioni, N Werge, O Wintenberger
arXiv preprint arXiv:2109.07117, 2021
32021
A robust model-based clustering based on the geometric median and the Median Covariation Matrix
A Godichon-Baggioni, S Robin
arXiv preprint arXiv:2211.08131, 2022
12022
Learning from time-dependent streaming data with online stochastic algorithms
A Godichon-Baggioni, N Werge, O Wintenberger
arXiv preprint arXiv:2205.12549, 2022
12022
Recursive ridge regression using second-order stochastic algorithms
A Godichon-Baggioni, W Lu, B Portier
2022
A penalized criterion for selecting the number of clusters for K-medians
A Godichon-Baggioni, S Surendran
arXiv preprint arXiv:2209.03597, 2022
2022
Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
A Godichon-Baggioni
arXiv preprint arXiv:2107.12058, 2021
2021
Multiview cluster aggregation and splitting, with an application to multiomic breast cancer data
A Godichon-Baggioni, C Maugis-Rabusseau, A Rau
2020
maskmeans
A Rau, A Godichon-Baggioni, C Maugis-Rabusseau
2019
coseq: An R/Bioconductor Package for Co-Expression Analyses of RNA-Seq Expression Data
A Rau, A Godichon-Baggioni, C Maugis-Rabusseau
Plant and Animal Genome XXVI Conference (January 13-17, 2018), 2018
2018
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