Inoltro questo annuncio di seminario a informatica.

*Data*: Martedì 5 Febbraio, 11-30-12:30, Sala Gerace, Dipartimento di Informatica * * *Speaker*: Prof. Francesco Rinaldi, Università di Padova

*Title*: Advances on first order algorithms for constrained optimization problems in Machine Learning

*Abstract*: Thanks to the advent of the "Big Data era", simple iterative first-order optimization approaches for constrained optimization have re-gained popularity in the last few years. In the talk, we first review a few classic methods (i.e., conditional and projected gradient method) in the context of Big Data applications. Then, we discuss both theoretical and computational aspects of some variants of those classic methods. Finally,  we examine current challenges and future research perspectives.

*Ambito*: Progetto PRA 2017