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On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions
Claire Boyer
,
Antoine Godichon-Baggioni
Article dans une revue
hal-03008212v5
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An efficient stochastic Newton algorithm for parameter estimation in logistic regressions
Bernard Bercu
,
Antoine Godichon
,
Bruno Portier
Article dans une revue
hal-02103041v1
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An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions
Bernard Bercu
,
Antoine Godichon
,
Bruno Portier
Article dans une revue
hal-02488985v1
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Multi-view cluster aggregation and splitting, with an application to multi-omic breast cancer data
Antoine Godichon-Baggioni
,
Cathy Maugis-Rabusseau
,
Andrea Rau
Article dans une revue
hal-01916941v1
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Online estimation of the asymptotic variance for averaged stochastic gradient algorithms
Antoine Godichon
Article dans une revue
hal-01678855v1
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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
Article dans une revue
hal-01511574v2
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Lp and almost sure rates of convergence of averaged stochastic gradient algorithms: locally strongly convex objective
Antoine Godichon-Baggioni
Article dans une revue
hal-01678852v1
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Fast estimation of the median covariation matrix with application to online robust principal components analysis
Hervé Cardot
,
Antoine Godichon
Article dans une revue
hal-01482743v1
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An averaged projected Robbins-Monro algorithm for estimating the parameters of a truncated spherical distribution
Antoine Godichon
,
Bruno Portier
Article dans une revue
hal-01591601v1
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Online estimation of the geometric median in Hilbert spaces: Nonasymptotic confidence balls
Hervé Cardot
,
Peggy Cénac
,
Antoine Godichon-Baggioni
Article dans une revue
hal-01555593v1
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Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: $L^p$ and almost sure rates of convergence
Antoine Godichon-Baggioni
Article dans une revue
hal-01413440v1
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