LIX - Ecole PolytechniqueGabriele Iommazzo


About me

I'm a Ph.D. student at LIX-École Polytechnique, Institut Polytechnique de Paris. My Ph.D. is is part of a joint agreement between École Polytechnique and Università di Pisa. I work under the joint supervision by Prof. Leo Liberti (LIX), Prof. Claudia D’Ambrosio (LIX) and Prof. A. Frangioni (Univ. Pisa).

You can find my CV here.

Research topics



Conference Proceedings

L. Liberti, G. Iommazzo, C. Lavor and N. Maculan, A Cycle-based Formulation for the Distance Geometry Problem. In C. Gentile et al. (Eds.), Graphs and Combinatorial Optimization: from Theory to Applications (CTW2020), AIRO Springer Series, 5:93--106, Springer, Cham., 2021.

C. D'Ambrosio, A. Frangioni, G. Iommazzo, L. Liberti, A Learning-based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers. In G. Nicosia et al. (Eds.), Machine Learning, Optimization, and Data Science (LOD2020), Lecture Notes in Computer Science, 12565:700--712, Springer Cham., 2020.

G. Iommazzo, C. D'Ambrosio, A. Frangioni, L. Liberti, Learning to Configure Mathematical Programming Solvers by Mathematical Programming. In P. Pardalos, M. Brunato (Eds.), Learning and Intelligent Optimization (LION14), Lecture Notes in Computer Science, 12096:377--389, Springer Cham., 2020.

Book Chapters

G. Iommazzo, C. D'Ambrosio, A. Frangioni, L. Liberti, The Algorithm Configuration Problem, to appear in the 3rd edition of the Encyclopedia of Optimization, Springer Nature.

Journals

L. Liberti, G. Iommazzo, C. Lavor, N. Maculan, Cycle-based Formulations in Distance Geometry, submitted to Open Journal of Mathematical Optimization.

Ph.D. Thesis

G. Iommazzo, Algorithmic Configuration by Learning and Optimization.


Laboratoire d'Informatique (LIX)
École Polytechnique
91128 Palaiseau Cedex - France
Email : Gabriele Iommazzo[\{a_t}\]lix.polytechnique.fr


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