Improved local models and new Bell inequalities via Frank-Wolfe algorithms S Designolle, G Iommazzo, M Besançon, S Knebel, P Gelß, S Pokutta Physical Review Research 5 (4), 043059, 2023 | 8 | 2023 |
A learning-based mathematical programming formulation for the automatic configuration of optimization solvers G Iommazzo, C D’Ambrosio, A Frangioni, L Liberti Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 8 | 2020 |
Learning to configure mathematical programming solvers by mathematical programming G Iommazzo, C d’Ambrosio, A Frangioni, L Liberti Learning and Intelligent Optimization: 14th International Conference, LION …, 2020 | 7 | 2020 |
A cycle-based formulation for the Distance Geometry Problem L Liberti, G Iommazzo, C Lavor, N Maculan Graphs and Combinatorial Optimization: from Theory to Applications: CTW2020 …, 2021 | 3 | 2021 |
Algorithmic configuration by learning and optimization G Iommazzo Institut polytechnique de Paris, 2021 | 2 | 2021 |
The Algorithm Configuration Problem G Iommazzo, C D'Ambrosio, A Frangioni, L Liberti arXiv preprint arXiv:2403.00898, 2024 | | 2024 |
Cycle-based formulations in Distance Geometry L Liberti, G Iommazzo, C Lavor, N Maculan arXiv preprint arXiv:2006.11523, 2020 | | 2020 |