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PS : Ismaël Castillo (Sorbonne Université) : Deep horseshoe Gaussian processes

Bâtiment Fermat, salle 4205

Algorithms modeling a possibly `deep’ structure in data have gained considerable popularity in recent years. Indeed, data sitting on a high-dimensional space can often be described by a hidden structure of much smaller « effective dimension ». A popular class of methods