no code implementations • 17 Dec 2023 • Dimos Tsouros, Senne Berden, Tias Guns
However, a large number of queries is still required to learn the model, which is a major limitation.
1 code implementation • 25 Jul 2023 • Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Decision-focused learning (DFL) is an emerging paradigm in machine learning which trains a model to optimize decisions, integrating prediction and optimization in an end-to-end system.
1 code implementation • 12 Jul 2023 • Dimos Tsouros, Senne Berden, Tias Guns
Second, we propose a probability-based method to guide query generation and show that it can significantly reduce the number of queries required to converge.
no code implementations • 11 Jul 2023 • Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali İrfan Mahmutoğulları, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
Our experiments show that by using SFGE we can: (1) deal with predictions that occur both in the objective function and in the constraints; and (2) effectively tackle two-stage stochastic optimization problems.