SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO https://www.carloalberto.org/events/category/seminars/seminars-in-statistics/page/2/?tribe-bar-date=2019-09-01
Venerdi 22 Aprile 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------ Speaker: *Johannes Schmidt-Hieber* (University of Twente)
Title: *A theoretical comparison of deep learning and Bayes with deep Gaussian process priors*
Abstract: Deep neural networks have received a lot of attention recently and considerable progress has been made to build an underlying mathematical foundation. In a first part of the talk, we summarize some statistical convergence results. Deep Gaussian process priors can be viewed as continuous analogues of Bayesian neural networks and this raises the question whether there is a closer link with deep learning. In the second part of the talk, we show that the posterior for a suitable deep Gaussian process prior can achieve fast posterior contraction rates and discuss the connection with deep learning. This is joint work with Gianluca Finocchio.
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Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting https://us02web.zoom.us/j/83612787995?pwd=SE1CR2ZGdmxxZmNWUmx2WS9XNXdtdz09 Meeting ID: 836 1278 7995 Passcode: 612986
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
Cordiali saluti, Pierpaolo De Blasi