A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization. - Andrea Cristofari; Marianna De Santis; Stefano Lucidi; Francesco Rinaldi (J. Optim. Theory Appl., 2017)

Data filtering for cluster analysis by ℓ0-norm regularization. - Andrea Cristofari (Optim. Lett., 2017)

An almost cyclic 2-coordinate descent method for singly linearly constrained problems. - Andrea Cristofari (Comput. Optim. Appl., 2019)

On global minimizers of quadratic functions with cubic regularization. - Andrea Cristofari; Tayebeh Dehghan Niri; Stefano Lucidi (Optim. Lett., 2019)

An active-set algorithmic framework for non-convex optimization problems over the simplex. - Andrea Cristofari; Marianna De Santis; Stefano Lucidi; Francesco Rinaldi (Comput. Optim. Appl., 2020)

Total Variation Based Community Detection Using a Nonlinear Optimization Approach. - Andrea Cristofari; Francesco Rinaldi; Francesco Tudisco (SIAM J. Appl. Math., 2020)

Louvain-like Methods for Community Detection in Multi-Layer Networks. - Sara Venturini; Andrea Cristofari; Francesco Rinaldi; Francesco Tudisco (CoRR, 2021)

A Derivative-Free Method for Structured Optimization Problems. - Andrea Cristofari; Francesco Rinaldi (SIAM J. Optim., 2021)

Minimization over the ℓ 1-ball using an active-set non-monotone projected gradient. - Andrea Cristofari; Marianna De Santis; Stefano Lucidi; Francesco Rinaldi (Comput. Optim. Appl., 2022)

An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information. - Andrea Cristofari; Gianni Di Pillo; Giampaolo Liuzzi; Stefano Lucidi (J. Optim. Theory Appl., 2022)

Active-Set Identification with Complexity Guarantees of an Almost Cyclic 2-Coordinate Descent Method with Armijo Line Search. - Andrea Cristofari (SIAM J. Optim., 2022)

A variance-aware multiobjective Louvain-like method for community detection in multiplex networks. - Sara Venturini; Andrea Cristofari; Francesco Rinaldi; Francesco Tudisco (J. Complex Networks, 2022)

Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. - Sara Venturini; Andrea Cristofari; Francesco Rinaldi; Francesco Tudisco (ICML, 2023)

A decomposition method for lasso problems with zero-sum constraint. - Andrea Cristofari (Eur. J. Oper. Res., 2023)

Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent. - Sara Venturini; Andrea Cristofari; Francesco Rinaldi; Francesco Tudisco (EURO J. Comput. Optim., 2023)

Probabilistic Iterative Hard Thresholding for Sparse Learning. - Matteo Bergamaschi; Andrea Cristofari; Vyacheslav Kungurtsev; Francesco Rinaldi (CoRR, 2024)

On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization. - Andrea Cristofari; Marianna De Santis; Stefano Lucidi (J. Optim. Theory Appl., 2024)