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Matteo Lapucci
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2020 – today
- 2024
- [j20]Matteo Lapucci
, Fabio Schoen
:
Advances in nonlinear optimization and equilibrium problems - Special issue editorial. EURO J. Comput. Optim. 12: 100086 (2024) - [j19]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): 121953 (2024) - [j18]Matteo Lapucci, Pierluigi Mansueto
:
Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms. J. Optim. Theory Appl. 201(1): 323-351 (2024) - [j17]Matteo Lapucci, Alessio Sortino:
On the Convergence of Inexact Alternate Minimization in Problems with ℓ 0 Penalties. Oper. Res. Forum 5(2): 41 (2024) - [j16]Matteo Lapucci
:
Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization. Oper. Res. Lett. 54: 107115 (2024) - 2023
- [j15]Matteo Lapucci
, Pierluigi Mansueto
:
A limited memory Quasi-Newton approach for multi-objective optimization. Comput. Optim. Appl. 85(1): 33-73 (2023) - [j14]Christian Kanzow
, Matteo Lapucci
:
Inexact penalty decomposition methods for optimization problems with geometric constraints. Comput. Optim. Appl. 85(3): 937-971 (2023) - [j13]Matteo Lapucci
, Tommaso Levato
, Francesco Rinaldi
, Marco Sciandrone
:
A Unifying Framework for Sparsity-Constrained Optimization. J. Optim. Theory Appl. 199(2): 663-692 (2023) - [j12]Matteo Lapucci
, Pierluigi Mansueto
, Fabio Schoen
:
A memetic procedure for global multi-objective optimization. Math. Program. Comput. 15(2): 227-267 (2023) - [j11]Matteo Lapucci
, Pierluigi Mansueto
:
Improved front steepest descent for multi-objective optimization. Oper. Res. Lett. 51(3): 242-247 (2023) - [i2]Tommaso Aldinucci, Matteo Lapucci:
Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case. CoRR abs/2306.00857 (2023) - 2022
- [j10]Riccardo Bisori, Matteo Lapucci
, Marco Sciandrone
:
A study on sequential minimal optimization methods for standard quadratic problems. 4OR 20(4): 685-712 (2022) - [j9]Matteo Lapucci
:
A penalty decomposition approach for multi-objective cardinality-constrained optimization problems. Optim. Methods Softw. 37(6): 2157-2189 (2022) - 2021
- [j8]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): 1-32 (2021) - [j7]Guido Cocchi, Matteo Lapucci
, Pierluigi Mansueto
:
Pareto front approximation through a multi-objective augmented Lagrangian method. EURO J. Comput. Optim. 9: 100008 (2021) - [j6]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: 23:1-23:38 (2021) - [j5]Matteo Lapucci
, Tommaso Levato
, Marco Sciandrone
:
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems. J. Optim. Theory Appl. 188(2): 473-496 (2021) - [i1]Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan:
A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization. CoRR abs/2112.12299 (2021) - 2020
- [j4]Guido Cocchi
, Matteo Lapucci
:
An augmented Lagrangian algorithm for multi-objective optimization. Comput. Optim. Appl. 77(1): 29-56 (2020) - [j3]Giulio Galvan
, Matteo Lapucci
, Tommaso Levato
, Marco Sciandrone
:
An Alternating Augmented Lagrangian method for constrained nonconvex optimization. Optim. Methods Softw. 35(3): 502-520 (2020)
2010 – 2019
- 2019
- [j2]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): 919-948 (2019) - [j1]Giulio Galvan, Matteo Lapucci
:
On the convergence of inexact augmented Lagrangian methods for problems with convex constraints. Oper. Res. Lett. 47(3): 185-189 (2019)
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last updated on 2024-08-23 18:27 CEST by the dblp team
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