Andrea Cristofari
Orcid: 0000-0002-9126-3994
According to our database1,
Andrea Cristofari authored at least 20 papers
between 2017 and 2026.
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Bibliography
2026
An Augmented Lagrangian-Based Method Using Primitive Directions for Mixed-Integer Nonlinear Problems.
J. Optim. Theory Appl., May, 2026
Complexity Results and Active-Set Identification of a Derivative-Free Method for Bound-Constrained Problems.
J. Optim. Theory Appl., April, 2026
Comput. Optim. Appl., January, 2026
2024
On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization.
J. Optim. Theory Appl., October, 2024
2023
Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent.
EURO J. Comput. Optim., January, 2023
Eur. J. Oper. Res., 2023
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs.
Proceedings of the International Conference on Machine Learning, 2023
2022
A variance-aware multiobjective Louvain-like method for community detection in multiplex networks.
J. Complex Networks, October, 2022
Active-Set Identification with Complexity Guarantees of an Almost Cyclic 2-Coordinate Descent Method with Armijo Line Search.
SIAM J. Optim., 2022
An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information.
J. Optim. Theory Appl., 2022
Minimization over the ℓ <sub>1</sub>-ball using an active-set non-monotone projected gradient.
Comput. Optim. Appl., 2022
2021
2020
SIAM J. Appl. Math., 2020
An active-set algorithmic framework for non-convex optimization problems over the simplex.
Comput. Optim. Appl., 2020
2019
Optim. Lett., 2019
An almost cyclic 2-coordinate descent method for singly linearly constrained problems.
Comput. Optim. Appl., 2019
2017
Large-scale optimization: new active-set methods and application in unsupervised learning.
PhD thesis, 2017
Optim. Lett., 2017
J. Optim. Theory Appl., 2017