Matteo Lapucci

30 papers Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A globally convergent gradient method with momentum. Comput. Optim. Appl. Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi, Davide Pucci, Marco Sciandrone
2026	J	`jnl`	Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization. J. Glob. Optim. Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi, Pierluigi Mansueto
2026	J	`jnl`	Effective Front-Descent Algorithms with Convergence Guarantees. SIAM J. Optim. Matteo Lapucci, Pierluigi Mansueto, Davide Pucci
2026	J	`jnl`	Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing. CoRR Francesca Lanzillotta, Chiara Albisani, Davide Pucci, Daniele Baracchi, Alessandro Piva, Matteo Lapucci
2025	J	`jnl`	A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization. IEEE Trans. Neural Networks Learn. Syst. Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan
2024	J	`jnl`	Advances in nonlinear optimization and equilibrium problems - Special issue editorial. EURO J. Comput. Optim. Matteo Lapucci, Fabio Schoen
2024	J	`jnl`	Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms. J. Optim. Theory Appl. Matteo Lapucci, Pierluigi Mansueto
2024	J	`jnl`	Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models. CoRR Matteo Lapucci, Davide Pucci
2024	J	`jnl`	Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization. Oper. Res. Lett. Matteo Lapucci
2024	J	`jnl`	Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems. CoRR Matteo Lapucci, Davide Pucci
2024	J	`jnl`	Integrated task scheduling and personnel rostering of airports ground staff: A case study. Expert Syst. Appl. Paola Cappanera, Leonardo Di Gangi, Matteo Lapucci, Giulia Pellegrini, Marco Roma, Fabio Schoen, Alessio Sortino
2024	J	`jnl`	On the Convergence of Inexact Alternate Minimization in Problems with ℓ Oper. Res. Forum Matteo Lapucci, Alessio Sortino
2024	J	`jnl`	Optimization-Driven Design of Monolithic Soft-Rigid Grippers. CoRR Pierluigi Mansueto, Mihai Dragusanu, Anjum Saeed, Monica Malvezzi, Matteo Lapucci, Gionata Salvietti
2023	J	`jnl`	A Unifying Framework for Sparsity-Constrained Optimization. J. Optim. Theory Appl. Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone
2023	J	`jnl`	A limited memory Quasi-Newton approach for multi-objective optimization. Comput. Optim. Appl. Matteo Lapucci, Pierluigi Mansueto
2023	J	`jnl`	A memetic procedure for global multi-objective optimization. Math. Program. Comput. Matteo Lapucci, Pierluigi Mansueto, Fabio Schoen
2023	J	`jnl`	Improved front steepest descent for multi-objective optimization. Oper. Res. Lett. Matteo Lapucci, Pierluigi Mansueto
2023	J	`jnl`	Inexact penalty decomposition methods for optimization problems with geometric constraints. Comput. Optim. Appl. Christian Kanzow, Matteo Lapucci
2023	J	`jnl`	Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case. CoRR Tommaso Aldinucci, Matteo Lapucci
2022	J	`jnl`	A penalty decomposition approach for multi-objective cardinality-constrained optimization problems. Optim. Methods Softw. Matteo Lapucci
2022	J	`jnl`	A study on sequential minimal optimization methods for standard quadratic problems. 4OR Riccardo Bisori, Matteo Lapucci, Marco Sciandrone
2021	J	`jnl`	A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization. CoRR Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan
2021	J	`jnl`	A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. J. Mach. Learn. Res. Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, Marco Sciandrone
2021	J	`jnl`	An effective procedure for feature subset selection in logistic regression based on information criteria. Comput. Optim. Appl. Enrico Civitelli, Matteo Lapucci, Fabio Schoen, Alessio Sortino
2021	J	`jnl`	Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems. J. Optim. Theory Appl. Matteo Lapucci, Tommaso Levato, Marco Sciandrone
2021	J	`jnl`	Pareto front approximation through a multi-objective augmented Lagrangian method. EURO J. Comput. Optim. Guido Cocchi, Matteo Lapucci, Pierluigi Mansueto
2020	J	`jnl`	An Alternating Augmented Lagrangian method for constrained nonconvex optimization. Optim. Methods Softw. Giulio Galvan, Matteo Lapucci, Tommaso Levato, Marco Sciandrone
2020	J	`jnl`	An augmented Lagrangian algorithm for multi-objective optimization. Comput. Optim. Appl. Guido Cocchi, Matteo Lapucci
2019	J	`jnl`	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. Leonardo Di Gangi, Matteo Lapucci, Fabio Schoen, Alessio Sortino
2019	J	`jnl`	On the convergence of inexact augmented Lagrangian methods for problems with convex constraints. Oper. Res. Lett. Giulio Galvan, Matteo Lapucci