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Poster

Online conformal prediction with decaying step sizes

Anastasios Angelopoulos · Rina Barber · Stephen Bates

Hall C 4-9 #1414
[ ] [ Paper PDF ]
Thu 25 Jul 2:30 a.m. PDT — 4 a.m. PDT

Abstract:

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.

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