Open Science

As scientists, we should aim for the highest standards of transparency and accessibility. As much as I can, I make available all the material related to my papers. In particular:

Method. How is data transformed to reach the conclusions which are claimed in my contributions.
Code. How was everything implemented (when relevant) so that one can reproduce it.
Data. What data was used to perform the experiments (when relevant).
Access. Where can an open-access or preprint be found online.
Resources. Any additional resource making it easier to understand/criticize the work done.

Legend: Available · Not Applicable · Not Available.

ID	Year	Title	Method	Code	Data	Access	Resources
AH	2024	Computing Counterfactual Explanations for Linear Optimization: A New Class of Bilevel Models and a Tailored Penalty Alternating Direction Method Lefebvre, H., Schmidt, M.
AG	2024	Exact Augmented Lagrangian Duality for Nonconvex Mixed-Integer Nonlinear Optimization Lefebvre, H., Schmidt, M.
AF	2024	On Coupling Constraints in Linear Bilevel Optimization Henke, D., Lefebvre, H., Schmidt, M., Thürauf, J.
AE	2023	Using Column Generation in Column-and-Constraint Generation for Adjustable Robust Optimization Lefebvre, H., Schmidt, M., Thürauf, J.
AD	2022	Exact Approaches for Convex Adjustable Robust Optimization Lefebvre, H., Malaguti, E., Monaci, M.
AC	2022	Adjustable Robust Optimization with Discrete Uncertainty Lefebvre, H., Malaguti, E., Monaci, M.
AB	2022	Adjustable Robust Optimization with Objective Uncertainty Lefebvre, H., Detienne, B., Malaguti, E., Monaci, M.
AA	2022	A Two-stage Robust Approach for Minimizing the Weighted Number of Tardy Jobs with Objective Uncertainty Clautiaux, F., Detienne, B., Lefebvre, H.