Present Courses

• Non Parametric Statistics(Master's program Mathematics and Applications (MDA), 2nd year
• Survival analysis (Master's program Mathematics and Applications (MDA), 2nd year
• Tail events analysis: Robustness, outliers and models for extreme values (Joint course with Pavlo Mozharovskyi)

Past

• Statistics-Linear Model, MS Big Data, MDI-720 (Telecom Paris)
• Extremes (Master's program "Mathématiques de l'aléatoire", Paris-Saclay University- Orsay)
• Asymptotic statistics, Telecom Paris, MACS203b
• Non Parametric statistics, Telecom Paris
• Numerical methods (MACS-205, Telecom ParisTech, Spring semester)
• Introduction to Bayesian learning , Master Data sciences, (Ecole Polytechnique, Institut polytechnique de Paris)
• Statistics MDI-220 (Telecom Paris)
• Bayesian filtering (SIGMA-203-b, Telecom ParisTech, Spring semester)
• Probability MDI-104 (Telecom ParisTech, Fall semester)

• Computational statistics and optimisation , Master `Mathematic for data science en Big Data', Telecom ParisTech, Ecole Polytechnique.

  • Lecture notes : Convex problems in Machine Learning, non smooth convex analysis, Fenchel-Legendre transform, duality.

• Proba ++ (MDI241), Probability course at Telecom ParisTech. Coordinators: Eric Moulines, Stéphan Clemençon

  Tutorial classes.

Lessons and Tutorial classes.

• Simulation-Based Learning : Theory and Algorithms , part of the Msc program M2MVA

  Tutorial lessons and case studies.
  Course material are available on the course's website