1 code implementation • 25 Jul 2023 • Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
This paper presents a comprehensive review of DFL, providing an in-depth analysis of both gradient-based and gradient-free techniques used to combine ML and constrained optimization.
no code implementations • 25 Jan 2022 • Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns
Results show that the zone transition probability estimation performs well, and that the structured output prediction learning can improve the results further.
2 code implementations • 10 Nov 2020 • Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Many decision-making processes involve solving a combinatorial optimization problem with uncertain input that can be estimated from historic data.