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:
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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
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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