RTD/A Research Fellow at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests include constrained, multi-objective and sparse non-linear optimization and optimization methods for machine learning and statistics. Publications For an updated list of publications see: My Google Scholar
Best AIROYoung Dissertation 2022
Best AIROYoung Dissertation 2022 Time Slot: Friday Morning Room: 002 Chair: Alice Raffaele Real-time Train Scheduling: Reactive and Proactive Algorithms for Safe and Reliable Railway Networks Time: 11:30 Anna Livia Croella (Sapienza – University of Rome) Train scheduling is a
NOML, Nonlinear Optimization and Machine Learning II
NOML Nonlinear Optimization and Machine Learning II Invited Session Time Slot: Thursday Morning Room: 003 Chair: Matteo Lapucci Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming Time: 9:00 Antonio M. Sudoso (Sapienza University of Rome), Piccialli Veronica The
NOML, Nonlinear Optimization and Machine Learning I
NOML Nonlinear Optimization and Machine Learning I Invited Session Time Slot: Wednesday Afternoon Room: 003 Chair: Matteo Lapucci Implicit bias of gradient descent for learning linear neural networks Time: 17:30 Holger Rauhut (RWTH Aachen University, Chair for Mathematics of Information
Hyperparameter optimization in machine learning via black-box global optimization
This topic deals with the application of advanced GO methods to optimally choose hyperparameters in machine learning training. The idea is to use GO methods to find good hyperparameters based on a small set of trials, each consisting in chosing
4+1 new PhD students in our research group!
We are glad to announce that next November 1st we will significantly expand our research group with 4 students enrolled in a new PhD course at GOL plus one who is starting his PhD program as an employee at Verizon
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
Home
GOL – Global Optimization Laboratory We couldn’t be more excited to share that Pierluigi Mansueto is among the finalists of the EURO Doctoral Dissertation Award 2025 !!! We are proud to announce that Matteo Lapucci and Pierluigi Mansueto got the
Who we are
Professors Prof. Fabio Schoen Prof. Paola Cappanera Prof. Marianna De Santis Prof. Fabio Tardella Adjunct professors Dr. Ing. Matteo Lapucci, PhD (RTD/A) Research Group Dr. Ing. Tommaso Aldinucci (PostDoc) Dr. Ing. Simone Magistri (PostDoc) Dr. Ing. Pierluigi Mansueto (PostDoc)
Discrete Optimization III
Discrete Optimization III Contributed Session Time Slot: Thursday Afternoon Room: 002 Chair: Alessio Sortino Throughput evaluation of large series-parallel production lines: a fast and efficient approach Time: 15:40 Yasmine Alaouchiche (University of Technology of Troyes), Ouazene Yassine, Yalaoui Farouk IntroductionEfficient
