Former PhD student in Ingegneria dell’Informazione at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests are machine learning, nonmonotone techniques, Nash Equilibrium Problems and derivative free optimization. Publications Football: Discovering elapsing-time bias in the science of
NOML, Nonlinear Optimization and Machine Learning III
NOML Nonlinear Optimization and Machine Learning III Invited Session Time Slot: Thursday Morning Room: 003 Chair: Marco Sciandrone Model Extraction based on Counterfactual Explanations Time: 11:30 Cecilia Salvatore (Department of Civil Engineering and Computer Science, University of Rome Tor Vergata,
Phd students
Current phd students Matteo Lapucci Past phd students Arnaldo Risi Francesco Rinaldi David Di Lorenzo Tommaso Bianconcini Luca Bravi Niccolò Bulgarini Alessandro Galligari Guido Cocchi Leonardo Galli Giulio Galvan Tommaso Levato
Generalized Nash Equilibrium Problems: a superlinear Trust-Region approach
The aim of this thesis is to obtain a Trust-Region algorithm to solve Generalized Nash Equilibrium Problems (GNEPs). The requested properties of the method are both global and local fast convergence, which have to be achieved under local Error
Past Members and Collaborators of GOL
Names are roughly sorted on the basis on when they have been active in the lab, most recent ones are at the end of the page Gerardo Poggiali Ing. Paolo Frosini (PhD) now at Resolvo s.r.l. (Managing Director) Ing. Mirko
Optimization and equilibrium methods for origin-destination matrix estimation
The aim of this thesis is to develop and implement, in C++, a few algorithms for origin/destination matrix calibration in urban traffic; these matrices have to be estimated based on real traffic counts. Advisor: Fabio Schoen Candidate: Leonardo Galli Date: 09/2013
Our group at ISMP2018 Bordeaux
First presentation today by a member of our GOL team at the Mathematical Programming conference in Bordeaux, a huge scientific meeting with more than 1550 presentations! Tommaso presented his research on sparse multiobjective optimization: a fantastic presentation, perfect in timing,
Machine learning, Optimization, Management
Today my master course on “Models and Algorithms for Organization and Management” has finished. I have had a very good class, with quite a lot of students – it has been a great satisfaction for me. But, differently from previous
LINFA meeting in Prato
We had a very vivid LINFA project meeting in Prato. All of the partners were present and we discussed how to perform the next, crucial, steps in the project. We are at an important landmark: we have a relatively reliable