PhD Student in Information Engineering at Dipartimento di Ingegneria dell’Informazione,Università degli Studi di Firenze. My research interests focus on large scale machine learning, nonlinear optimization and computer vision. Publications An Effective Procedure for Feature Subset Selection in Logistic Regression Based on Information Criteria.
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,
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
An efficient implementation of the FALKON algorithm for Large Scale kernel methods and an extension to the semi-supervised scenario
This thesis is devoted to the re-implementation of a very large scale kernel ridge regression software tool and to its extension to the semi-supervised case Started: November 2018 Candidate: Enrico Civitelli Graduated: April 2019
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