Latest


2025.10.02: Material from session 3.
2025.09.25: Material from session 2.
2025.09.19: Material from session 1.
2025.09.15: The course webpage for Fall 2025 is online.

Instructor

Clément Royer
clement.royer@lamsade.dauphine.fr

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Optimization for Machine Learning

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


Aim of the course

     Study the main optimization techniques used in machine learning and data science, as well as their underlying principles.

Course material

Session 1: Basics of optimization

     Intro slides PDF
     Virtual board PDF
     Backup slides (with material not covered in class) PDF

Session 2: Differentiation

     Virtual board PDF
     Notebook (with solutions) ZIP

Session 3: Gradient methods

     Virtual board PDF
     Notebook (with solutions) 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.