9:00-13:00, April 25, 2023
The goal of this tutorial is to provide a detailed introduction to conformal prediction, a popular uncertainty quantification method in machine learning.
Claire Boyer Assistant Professor, LPSM, Paris Sorbonne Université
Margaux Zaffran PhD Candidate, EDF, Inria, CMAP, École Polytechnique
You will find below:
(breaks not indicated)
Day | Time | Program |
---|---|---|
Tuesday | Tutorial on CP Lecture Slides | |
Lab: Implementing CP Lab version: python notebook on CP Corrected version: python notebook on CP | ||
Implementing CP for classification Lab version: python notebook on CP Corrected version: python notebook on CP |
This notebook covers the basic features of Google Colab.