Follow
Alexandre Forel
Title
Cited by
Cited by
Year
A survey of contextual optimization methods for decision-making under uncertainty
U Sadana, A Chenreddy, E Delage, A Forel, E Frejinger, T Vidal
European Journal of Operational Research, 2024
332024
Don’t Explain Noise: Robust Counterfactuals for Randomized Ensembles
A Forel, A Parmentier, T Vidal
International Conference on the Integration of Constraint Programming …, 2023
9*2023
Dynamic stochastic lot sizing with forecast evolution in rolling‐horizon planning
A Forel, M Grunow
Production and Operations Management 32 (2), 449-468, 2023
72023
Explainable data-driven optimization: From context to decision and back again
A Forel, A Parmentier, T Vidal
International Conference on Machine Learning, 10170-10187, 2023
52023
Distributed model predictive operation control of interconnected microgrids
A Forel
32017
CF-OPT: Counterfactual Explanations for Structured Prediction
G Vivier-Ardisson, A Forel, A Parmentier, T Vidal
International Conference on Machine Learning, 2024
2024
Adaptive Partitioning for Chance-Constrained Problems with Finite Support
M Roland, A Forel, T Vidal
arXiv preprint arXiv:2312.13180, 2023
2023
Rolling-horizon production planning for seasonal and uncertain demand
A Forel
Technische Universität München, 2021
2021
Stochastic programming in master production scheduling: overcoming barriers to industry application
A Forel, M Grunow
The system can't perform the operation now. Try again later.
Articles 1–9