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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
602017
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
452019
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
432016
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
31*2017
On the rates of convergence of parallelized averaged stochastic gradient algorithms
A Godichon-Baggioni, S Saadane
Statistics 54 (3), 618-635, 2020
21*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
202020
Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective
A Godichon-Baggioni
arXiv preprint arXiv:1609.05479, 2016
19*2016
On the asymptotic rate of convergence of stochastic newton algorithms and their weighted averaged versions
C Boyer, A Godichon-Baggioni
Computational Optimization and Applications 84 (3), 921-972, 2023
162023
Online estimation of the asymptotic variance for averaged stochastic gradient algorithms
A Godichon-Baggioni
Journal of Statistical Planning and Inference 203, 1-19, 2019
14*2019
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
92020
Non-asymptotic analysis of stochastic approximation algorithms for streaming data
A Godichon-Baggioni, N Werge, O Wintenberger
arXiv preprint arXiv:2109.07117, 2021
72021
An averaged projected robbins-monro algorithm for estimating the parameters of a truncated spherical distribution
A Godichon-Baggioni, B Portier
72017
Learning from time-dependent streaming data with online stochastic algorithms
A Godichon-Baggioni, N Werge, O Wintenberger
arXiv preprint arXiv:2205.12549, 2022
42022
Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
A Godichon-Baggioni
Statistics, 1-32, 2023
32023
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
A Godichon-Baggioni, P Tarrago
arXiv preprint arXiv:2303.01370, 2023
22023
Recursive ridge regression using second-order stochastic algorithms
A Godichon-Baggioni, W Lu, B Portier
22022
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
22022
Online stochastic Newton methods for estimating the geometric median and applications
A Godichon-Baggioni, W Lu
arXiv preprint arXiv:2304.00770, 2023
12023
A penalized criterion for selecting the number of clusters for K-medians
A Godichon-Baggioni, S Surendran
arXiv preprint arXiv:2209.03597, 2022
12022
coseq
A Rau, CM Rabusseau, A Godichon-Baggioni
12017
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