Research tutorials
The slides of an introductive tutorial on Conformal Prediction can be found here!
ICML2024 Tutorial: Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of Conformal Prediction given with Aymeric Dieuleveut. The slides are available.
UAI2024 Tutorial: Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of Conformal Prediction given with Aymeric Dieuleveut. The slides are available.
ECAS-ENBIS Course: Conformal Prediction: How to quantify uncertainty of machine learning models? will take place in the Nexus Building (6G in this map), room 2.14, on Sunday 10th of September at 2pm. Entrance to UPV on that day is ‘M’.
Slides available!
Tutorial on Conformal Prediction given with Claire Boyer at FEMTO-ST during the MASPIN days. The slides are available.
Teaching assistant
Teaching assistant at ENSTA Paris and Université Paris Dauphine - PSL.
Availabilites for students: you can send me an e-mail whenever you need it. I block my Friday afternoon from 4 to 6 pm to answer you on scientific subjects. If you are lucky, I can answer you at another time, but I can’t guarantee it :)
Dauphine
Business Cases, 2022 and 2023
- Jupyter notebook without answers
- Jupyter notebook with answers
- Executed jupyter notebook (HTML)
- Electricity french spot prices
ENSTA Paris
Introduction to probability, 2021, 2022 and 2023
1st year (equiv. L3)
Introduction to statistics, 2021, 2022 and 2023
1st year (equiv. L3)
Time series (STA202), 2021 and 2022
2nd year and M1 Applied Mathematics (Université Paris-Saclay)
Course taught by Yannig Goude, materials can be found on his website. The codes proposed here are modified versions of his.
- Practical session 1: exercise 1, exercise 2 (last updated on 02/02/2022 to add more comments)
- Practical session 2
- Practical session 3: exercise 1
- Practical session 4: exercise 2 (uploaded on 19/02/2022)
- Practical session 5: exercise 1, exercise 2, exercise 3
- Practical session 6: exercise 1, exercise 2