Matteo Lapucci

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Subset Selection

Optimization Problems

Decomposition Method

Augmented Lagrangian

Top Venues

Comput. Optim. Appl.

Oper. Res. Lett.

J. Optim. Theory Appl.

Publications

Paola Cappanera, Leonardo Di Gangi, Matteo Lapucci, Giulia Pellegrini, Marco Roma, Fabio Schoen, Alessio Sortino
Integrated task scheduling and personnel rostering of airports ground staff: A case study. Expert Syst. Appl. 238 (Part C) (2024)
Matteo Lapucci, Fabio Schoen
Advances in nonlinear optimization and equilibrium problems - Special issue editorial. EURO J. Comput. Optim. 12 (2024)
Matteo Lapucci, Alessio Sortino
Penalties. Oper. Res. Forum 5 (2) (2024)
Matteo Lapucci
Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization. Oper. Res. Lett. 54 (2024)
Matteo Lapucci, Pierluigi Mansueto
Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms. J. Optim. Theory Appl. 201 (1) (2024)
Matteo Lapucci, Pierluigi Mansueto
A limited memory Quasi-Newton approach for multi-objective optimization. Comput. Optim. Appl. 85 (1) (2023)
Tommaso Aldinucci, Matteo Lapucci
Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case. CoRR (2023)
Matteo Lapucci, Pierluigi Mansueto
Improved front steepest descent for multi-objective optimization. Oper. Res. Lett. 51 (3) (2023)
Matteo Lapucci, Pierluigi Mansueto, Fabio Schoen
A memetic procedure for global multi-objective optimization. Math. Program. Comput. 15 (2) (2023)
Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone
A Unifying Framework for Sparsity-Constrained Optimization. J. Optim. Theory Appl. 199 (2) (2023)
Christian Kanzow, Matteo Lapucci
Inexact penalty decomposition methods for optimization problems with geometric constraints. Comput. Optim. Appl. 85 (3) (2023)
Riccardo Bisori, Matteo Lapucci, Marco Sciandrone
A study on sequential minimal optimization methods for standard quadratic problems. 4OR 20 (4) (2022)
Matteo Lapucci
A penalty decomposition approach for multi-objective cardinality-constrained optimization problems. Optim. Methods Softw. 37 (6) (2022)
Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, Marco Sciandrone
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. J. Mach. Learn. Res. 22 (2021)
Matteo Lapucci, Tommaso Levato, Marco Sciandrone
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems. J. Optim. Theory Appl. 188 (2) (2021)
Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan
A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization. CoRR (2021)
Guido Cocchi, Matteo Lapucci, Pierluigi Mansueto
Pareto front approximation through a multi-objective augmented Lagrangian method. EURO J. Comput. Optim. 9 (2021)
Enrico Civitelli, Matteo Lapucci, Fabio Schoen, Alessio Sortino
An effective procedure for feature subset selection in logistic regression based on information criteria. Comput. Optim. Appl. 80 (1) (2021)
Giulio Galvan, Matteo Lapucci, Tommaso Levato, Marco Sciandrone
An Alternating Augmented Lagrangian method for constrained nonconvex optimization. Optim. Methods Softw. 35 (3) (2020)
Guido Cocchi, Matteo Lapucci
An augmented Lagrangian algorithm for multi-objective optimization. Comput. Optim. Appl. 77 (1) (2020)
Giulio Galvan, Matteo Lapucci
On the convergence of inexact augmented Lagrangian methods for problems with convex constraints. Oper. Res. Lett. 47 (3) (2019)
Leonardo Di Gangi, Matteo Lapucci, Fabio Schoen, Alessio Sortino
An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series. Comput. Optim. Appl. 74 (3) (2019)