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09/21/2023
A mixture of ellipsoidal densities for 3D data modelling
In this paper, we propose a new ellipsoidal mixture model. This model is...
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04/03/2023
Online stochastic Newton methods for estimating the geometric median and applications
In the context of large samples, a small number of individuals might spo...
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03/01/2023
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
In stochastic optimization, a common tool to deal sequentially with larg...
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11/15/2022
A robust model-based clustering based on the geometric median and the Median Covariation Matrix
Grouping observations into homogeneous groups is a recurrent task in sta...
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09/08/2022
A penalized criterion for selecting the number of clusters for K-medians
Clustering is a usual unsupervised machine learning technique for groupi...
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05/25/2022
Learning from time-dependent streaming data with online stochastic algorithms
We study stochastic algorithms in a streaming framework, trained on samp...
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09/15/2021
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data
Motivated by the high-frequency data streams continuously generated, rea...
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07/26/2021
Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
Online averaged stochastic gradient algorithms are more and more studied...
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11/19/2020
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions
The majority of machine learning methods can be regarded as the minimiza...
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06/23/2020
An efficient Averaged Stochastic Gauss-Newton algorithm for estimating parameters of non linear regressions models
Non linear regression models are a standard tool for modeling real pheno...
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06/23/2020
An efficient Averaged Stochastic Gauss-Newtwon algorithm for estimating parameters of non linear regressions models
Non linear regression models are a standard tool for modeling real pheno...
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04/16/2019
An efficient stochastic Newton algorithm for parameter estimation in logistic regressions
Logistic regression is a well-known statistical model which is commonly ...
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10/22/2017
