MINISIMPOSIUM Learning, Games, and Optimization @ SIMAI 2016

September 16, 2016 | Politecnico di Milano, Milano, Italy

Analytics, decision, and artificial intelligent systems have been recently revolutionized by data driven technologies fuelled with data of unprecedented size and complexity. The challenge of defining flexible models and data exploration strategies is paralleled by the need of efficiently processing big data-sets in possibly very high dimensions. The techniques to be employed arise from a combination of ideas and tools from a variety of diverse fields. Three main such fields are machine learning, game theory, and optimization. The goal of this mini-symposium is to gather experts from these fields to discuss mathematical challenges and potentially unveil novel connections.
Relevance to SIMAI: The challenges of modern data driven technologies ask for new sound solutions and novel synthesis of ideas from different fields of mathematics. The mini-symposium on the ”Mathematics of learning from data” we organized in the 2014 meeting had a good impact in terms of interest and audience. We believe that the proposed mini-symposium offers a unique opportunity to foster new collaborations and engage the italian applied mathematics community with the many opportunities of a new emerging field.

Organizers:
Roberto Lucchetti, Lorenzo Rosasco, Silvia Villa

Speakers

Part I

Nicolò Cesa-Bianchi (keynote), Università di Milano

Nicola Gatti, Politecnico di Milano

Tomàs Kroupa, Università di Milano

Fabio Nobile, École Polytechnique Fédérale de Lausanne

Marcello Pelillo, Universiá Ca’ Foscari Venezia

Part II

Francisco Facchinei (keynote), Università La Sapienza

Luca Calatroni, Università di Genova

Christine De Mol, Université Libre de Bruxelles

Ernesto De Vito, Università di Genova

Ilaria Giulini, INRIA Saclay Palaiseau

Program

September 16 - Aula 7 B54 (Politecnico di Milano) :

10:30–13:00 : Part I
14:30–17:00 : Part II