Andrea Cristofari

Publications

Journals:

1. A. Cristofari, M. De Santis, S. Lucidi. On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization. Journal of Optimization Theory and Applications, to appear

2. S. Venturini, A. Cristofari, F. Rinaldi, F. Tudisco (2023). Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent. EURO Journal on Computational Optimization 11, 100079

3. A. Cristofari, M. De Santis, S. Lucidi, J. Rothwell, E.P. Casula, L. Rocchi (2023). Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory Input. Brain Sciences 13(6), 866

4. A. Cristofari (2023). A decomposition method for lasso problems with zero-sum constraint. European Journal of Operational Research 306(1), 358–369 [Code]

5. S. Venturini, A. Cristofari, F. Rinaldi, F. Tudisco (2022). A variance-aware multiobjective Louvain-like method for community detection in multiplex networks. Journal of Complex Networks 10(6), 1–23 [Code]

6. A. Cristofari, M. De Santis, S. Lucidi, F. Rinaldi (2022). Minimization over the ℓ1-ball using an active-set non-monotone projected gradient. Computational Optimization and Applications 83, 693–721 [Code]

7. A. Cristofari (2022). Active-Set Identification with Complexity Guarantees of an Almost Cyclic 2-Coordinate Descent Method with Armijo Line Search.  SIAM Journal on Optimization 32(2), 739–764

8. A. Cristofari, G. Di Pillo, G. Liuzzi, S. Lucidi (2022). An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information. Journal of Optimization Theory and Applications 193, 300–323

9. A. Cristofari, F. Rinaldi (2021). A Derivative-Free Method for Structured Optimization Problems. SIAM Journal on Optimization 31(2), 1079–1107 [Code]

10. A. Cristofari, M. De Santis, S. Lucidi, F. Rinaldi (2020). An active-set algorithmic framework for non-convex optimization problems over the simplex. Computational Optimization and Applications 77(1), 57–89

11. A. Cristofari, F. Rinaldi, F. Tudisco (2020). Total Variation Based Community Detection Using a Nonlinear Optimization Approach. SIAM Journal on Applied Mathematics 80(3), 1392–1419 [Code]

12. A. Cristofari, T. Dehghan Niri, S. Lucidi (2019). On global minimizers of quadratic functions with cubic regularization. Optimization Letters 13(6), 1269–1283

13. A. Cristofari (2019). An almost cyclic 2-coordinate descent method for singly linearly constrained problems. Computational Optimization and Applications 73(2), 411–452

14. A. Cristofari, M. De Santis, S. Lucidi, F. Rinaldi (2018). Data and performance of an active-set truncated Newton method with non-monotone line search for bound-constrained optimization. Data in Brief 21, 2155–2169

15. A. Cristofari (2017). Data filtering for cluster analysis by ℓ0-norm regularization. Optimization Letters 11(8), 1527–1546 [Code]

16. A. Pelliccioni, A. Cristofari, M. Lamberti, C. Gariazzo (2017). PAHs urban concentrations maps using support vector machines. International Journal of Environment and Pollution 61(1), 1–12

17. A. Cristofari, M. De Santis, S. Lucidi, F. Rinaldi (2017). A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization. Journal of Optimization Theory and Applications 172(2), 369–401 [Code]

Conference proocedings:

1. S. Venturini, A. Cristofari, F. Rinaldi, F. Tudisco (2023). Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35006-35023

Book chapters:

1. A. Credo, A. Cristofari, S. Lucidi, F. Rinaldi, F. Romito, M. Santececca, M. Villani (2019). Design Optimization of Synchronous Reluctance Motor for Low Torque Ripple. In: M. Dell'Amico, M. Gaudioso, G. Stecca (eds) A View of Operations Research Applications in Italy, 2018, pp. 53–69. AIRO Springer Series, vol 2. Springer 

New submissions:

1. A. Brilli, A. Cristofari, G. Liuzzi, S. Lucidi. Complexity Results and Active-Set Identification of a Derivative-Free Method for Bound-Constrained Problems. Submitted for publication

2. A. Cristofari, G. Di Pillo, G. Liuzzi, S. Lucidi. An Augmented Lagrangian-Based Method Using Primitive Directions for Mixed-Integer Nonlinear Problems. Submitted for publication