Publications

1. A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems.
   G. Galvan, M. Lapucci, C.-J. Lin, M. Sciandrone.
   Journal of Machine Learning Research (2021).
   Link: https://jmlr.org/papers/v22/19-632.html
2. Comprehensive Disease Control in Systemic Lupus Erythematosus.
   F. Ceccarelli, G. Olivieri, A. Sortino, M. Lapucci, M. Sciandrone et al..
   Seminars in Arthritis and Rheumatism (2021).
   DOI: 10.1016/j.semarthrit.2021.02.005
3. Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems.
   M. Lapucci, T. Levato, M. Sciandrone.
   Journal of Optimization Theory and Applications (2020).
   DOI: 10.1007/s10957-020-01793-9
4. An augmented Lagrangian algorithm for multi-objective optimization.
   G. Cocchi, M. Lapucci.
   Computational Optimization and Applications (2020).
   DOI: 10.1007/s10589-020-00204-z
5. 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
6. 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
7. 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

Talks

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

Contacts

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

E-mail: matlapucci at gmail dot com