Andrea Cristofari

Orcid: 0000-0002-9126-3994

According to our database1, Andrea Cristofari authored at least 20 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

Probabilistic iterative hard thresholding for sparse learning.
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

A decomposition method for lasso problems with zero-sum constraint.
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
A Derivative-Free Method for Structured Optimization Problems.
SIAM J. Optim., 2021

Louvain-like Methods for Community Detection in Multi-Layer Networks.
CoRR, 2021

2020
Total Variation Based Community Detection Using a Nonlinear Optimization Approach.
SIAM J. Appl. Math., 2020

An active-set algorithmic framework for non-convex optimization problems over the simplex.
Comput. Optim. Appl., 2020

2019
On global minimizers of quadratic functions with cubic regularization.
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

Data filtering for cluster analysis by ℓ<sub>0</sub>-norm regularization.
Optim. Lett., 2017

A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization.
J. Optim. Theory Appl., 2017


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