Dipartimento di Matematica ''F. Casorati''

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Forward-backward algorithm for inverse problems and machine learning

Dr. Silvia Villa, Politecnico di Milano

Sala conferenze IMATI-CNR, Pavia - Martedì 15 Maggio 2018 h.15:00

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.

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Dipartimento di Matematica ''F. Casorati''

Università degli Studi di Pavia - Via Ferrata, 5 - 27100 Pavia
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