Tuesday, 15 May 2018, 3 p.m. (sharp),
D.ssa Silvia Villa, Politecnico di Milano
at the conference room of IMATI-CNR in Pavia, will give a lecture titled:
Forward-backward algorithm for inverse problems and machine learning
as part of the Applied Mathematics Seminar (IMATI-CNR e Dipartimento di Matematica, Pavia).
At the end a refreshment will be organized.
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.