Course by Ismael CASTILLO (Sorbonne University)
Dear Colleagues, as part of the Visiting Professors program of the Master's Degree in Stochastics and Data Science at the University of Torino (full program available at https://www.master-sds.unito.it/go/visiting), we are pleased to announce the following course: -------------------------------------- Ismael CASTILLO (Sorbonne University) ASYMPTOTICS IN BAYESIAN NONPARAMETRICS. Syllabus: - Frequentist analysis of posterior distributions, dominated case, generic convergence theorem - Gaussian process priors and adaptation to smoothness - Deep neural network priors and deep GPs: adaptation to smoothness and structure - Variational Bayes: convergence of variational approximations -------------------------------------- The course will be held exclusively in-person, according to the following schedule: - Tue 12/12, h.16-18 - Wed 13/12, h.14-16 - Thu 14/12, h.9.15-11.15 - Thu 14/12, h.14-16 Course location: Room 30, third floor, Corso Unione Sovietica 218/bis, 10134, Turin. Participation is open to all interested. Best regards, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it
participants (1)
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Matteo Ruggiero