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L2S
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Exemple Actualité
24/09/2021
Robust low-rank covariance matrix estimation with missing values and application to classification problems
Speaker — Alexandre Hippert-Ferrer (L2S, CentraleSupelec, Univ. Paris-Saclay) Abstract — Missing values are inherent to real-world data sets. Statistical learning […]
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21/05/2021
Online estimation of elliptical distributions and their mixture: the component-wise information gradient method
Speaker — Jialun Zhou (IMS, Groupe Signal Image — CNRS, Université de Bordeaux) https://s3-seminar.github.io/seminars/jialun-zhou/ Abstract — Elliptically-Contoured Distributions (ECD) and […]
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12/03/2021
Speeding up of kernel-based learning for high-order tensor
Speaker — Ouafae Karmouda (SIGMA team at CRIStAL laboratory, Lille, France) Abstract — Supervised learning is a major task to […]
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05/03/2021
Sampling rates for l1 synthesis
Speaker — Claire Boyer (Sorbonne Université) Abstract — This work investigates the problem of signal recovery from undersampled noisy sub-Gaussian […]
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11/12/2020
Efficient MCMC sampling via asymptotically exact data augmentation
Speaker — Maxime Vono (IRIT — INP-ENSEEIHT) https://s3-seminar.github.io/seminars/maxime-vono/ Abstract — Performing exact Bayesian inference for complex models is computationally intractable. […]
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27/11/2020
Riemannian geometry for data analysis: illustration on blind source separation and low-rank structured covariance matrices
Speaker — Florent Bouchard (L2S — CNRS, Université Paris-Saclay, CentraleSupélec) https://s3-seminar.github.io/seminars/florent-bouchard/ Abstract — In this presentation, Riemannian geometry for data […]
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