Martedì 15 Maggio 2018, alle ore 15 precise, presso la sala conferenze dell’IMATI-CNR di Pavia, la

D.ssa Silvia Villa, Politecnico di Milano

terrà un seminario dal titolo:

Forward-backward algorithm for inverse problems and machine learning

nell'ambito del Seminario di Matematica Applicata (IMATI-CNR e Dipartimento di Matematica, Pavia),

http://matematica.unipv.it/it/seminari-matematica-applicata

Al termine della conferenza sarà organizzato un piccolo rinfresco.

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Abstract.

Classical approaches to process and classifying data often reduce to designing and minimizing empirical objective functions. The challenge is two-fold. On the one hand, to incorporate the structural information on the problem, on the other hand, to develop optimization schemes that can exploit such a structure. In this talk, I will present an approach based on the forward-backward algorithm both in the context of machine learning and inverse problems. The focus will be on the interplay between estimation and optimization requirements and guarantees.