lapucciPhD Student of Smart Computing 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.


  1. An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series.
    L. Di Gangi, M. Lapucci, F. Schoen, A. Sortino
    Computational Optimization and Applications (2019).
    DOI: 10.1007/s10589-019-00134-5
  2. On the convergence of inexact Augmented Lagrangian methods for problems with convex constraints.
    G. Galvan, M. Lapucci
    Operations Research Letters (2019).
    DOI: 10.1016/j.orl.2019.03.006
  3. An Alternating Augmented Lagrangian method for constrained nonconvex optimization.
    G. Galvan, M. Lapucci, T. Levato, M. Sciandrone
    Optimization Methods and Software (2019).
    DOI: 10.1080/10556788.2019.1576177

My ORCID number: 0000-0002-2488-5486


  1. ODS 2019 (Genova) An Efficient Optimization Approach for Subset Selection, with Application to Linear Regression and Auto-Regressive Time Series.


Via di Santa Marta, 3 – 50139 Firenze FI (Italy)

E-mail: matlapucci at gmail dot com