Tutorial on conformal prediction and related methods - ETICS 2024 Research School

Sébastien Da Veiga (1, 2)

1 ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz]
2 CREST - Centre de Recherche en Economie et Statistique [Bruz]

These lecture notes have been prepared for the ETICS 2024 research school. They consist of two 3-hours lectures, dedicated to the following topics: Introduction and motivation for uncertainty quantification on machine learning predictions - Conformal prediction theory and methodology - Extensions and concurrent methods

Domaines: Statistiques [stat]

Sébastien Da Veiga. Tutorial on conformal prediction and related methods - ETICS 2024 Research School. Doctoral. France. 2024. ⟨hal-04690218⟩