Année
2023
Auteurs
DELLE DONNE Diego, KOWALSKI Matthieu, LIBERTI Leo
Abstract
We introduce a new (and the first to our knowledge) M-independent integer linear programming formulation for P0/p, which guarantees the recovery of the global minimizer. We propose a practical approach to tackle this formulation, which has exponentially many constraints.
DELLE DONNE, D., KOWALSKI, M. et LIBERTI, L. (2023). A Novel Integer Linear Programming Approach for Global L0 Minimization. Journal of Machine Learning Research, 24(382), pp. 1-28.