2 papers
cs.LG2026
CG4AI: A Column Generation Framework for Training AI Models Under Constraints
Youcef Magnouche, Abderrahmane Driouch, Sébastien Martin +1
Standard machine-learning training minimizes a loss function over a dataset, but does not guarantee that the resulting model will satisfy predefined rules or constraints on its out…
cs.DM2025
Atomic Column Generation For Consensus Between Algorithms: Application to Path Computation
Sébastien Martin, Pierre Bauguion, Youcef Magnouche +1
In real-life applications, most optimization problems are variants of well-known combinatorial optimization problems, including additional constraints to fit with a particular use…