Publications

Conference Proceedings

  • A Learning-based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers
    G. Iommazzo, C. D’Ambrosio, A. Frangioni, L. Liberti
    LOD (2021)
    [DOI] | [ArXiv] | [BibTeX]


  • A Cycle-based Formulation for the Distance Geometry Problem
    L. Liberti, G. Iommazzo, C. Lavor, N. Maculan
    CTW (2020)
    [DOI] | [PDF] | [BibTeX]


  • Learning to Configure Mathematical Programming Solvers by Mathematical Programming
    G. Iommazzo, C. D’Ambrosio, A. Frangioni, L. Liberti
    LION (2020)
    [DOI] | [ArXiv] | [BibTeX]


Journals

  • Improved Local Models and New Bell Inequalities via Frank-Wolfe Algorithms
    S. Designolle, G. Iommazzo, M. Besançon, S. Knebel, P. Gelß, S. Pokutta
    Phys. Rev. Research, Volume 5, 043059, 6 p. (2023)
    [DOI] | [ArXiv] | [BibTeX]


  • Cycle-based Formulations in Distance Geometry
    L. Liberti, G. Iommazzo, C. Lavor, N. Maculan
    Open Journal of Mathematical Optimization, Volume 4, article no. 1, 16 p. (2023)
    [DOI] | [ArXiv] | [BibTeX]


Book Chapters

  • The Algorithm Configuration Problem
    G. Iommazzo, C. D’Ambrosio, A. Frangioni, L. Liberti
    In: P.M. Pardalos, O.A. Prokopyev (eds), Encyclopedia of Optimization. Springer, Cham. (2023) [DOI] | [ArXiv] | [BibTeX]


PhD Thesis

  • Algorithmic Configuration by Learning and Optimization
    G. Iommazzo (2021) [PDF] | [BibTeX]