Inoltro questo annuncio di seminario a informatica.
*Data*: Martedì 5 Febbraio, 11-30-12:30, Sala Gerace, Dipartimento di
Informatica
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*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
