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2025.12.09: Solutions sessions 3 et 4.
2025.12.08: Resources for session 3+solutions session 2.
2025.11.26: Resources for session 2.
2025.11.21: Resources from session 1.
2025.11.15: Course webpage online.

Instructor

Clément Royer
clement.royer@lamsade.dauphine.fr

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Machine learning for optimization

M2 MODO, Université Paris Dauphine-PSL, 2025-2026


Aim of the course

     Review successful use of machine learning techniques in optimization solvers.

Course material

Session 1 (Introduction)

     Virtual board for session 1 (Networks+Automatic differentiation) PDF
     Illustration notebook (Blackbox optimization) ZIP

Session 2 (Implicit layers)

     Introductory slides PDF
     Notebook ZIP
     Solution version ZIP

Session 3 (Unfolded solvers)

     Introductory slides PDF
     Notebook ZIP
     Notebook ZIP

Session 4 (Graph neural networks)

     Notebook ZIP
     Notebook ZIP



Materials on this page are available under Creative Commons CC BY-NC 4.0 license.
La version française de cette page se trouve ici.