Matteo Lapucci

Post-Doc Research Fellow 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.

Summer 2022 Events

GOL is organizing two relevant scientific events this summer:


For an updated list of publications see:


  1. ODS 2021 (Rome)A Unifying Framework for Sparsity Constrained Optimization
  2. SIMAI 2020+2021 (Parma)A Two-Level Decomposition Framework  Exploiting First and Second Order Information for SVM Training  Problems
  3. SIAM Conference on Optimization (OP21)A Penalty Decomposition Approach for Multi-Objective Cardinality-Constrained Optimization Problems.
  4. EUROPT 2021 (Toulouse, virtual)A Derivative-free Adaptation of the Penalty Decomposition Method for Sparse Optimization.
  5. 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