Online conformal prediction with decaying step sizes

Autor: Angelopoulos, Anastasios N., Barber, Rina Foygel, Bates, Stephen
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We introduce a method for online conformal prediction with decaying step sizes. Like previous methods, ours possesses a retrospective guarantee of coverage for arbitrary sequences. However, unlike previous methods, we can simultaneously estimate a population quantile when it exists. Our theory and experiments indicate substantially improved practical properties: in particular, when the distribution is stable, the coverage is close to the desired level for every time point, not just on average over the observed sequence.
Databáze: arXiv