27 citations · 60 across the 7 of their papers we have counts for
4 papers · 1 filter
Correcting the Coverage Bias of Quantile Regression
Isaac Gibbs, John J. Cherian, Emmanuel J. Candès
We develop a collection of methods for adjusting the predictions of quantile regression to ensure coverage. Our methods are model agnostic and can be used to correct for high-dimen…
Conformal Prediction With Conditional Guarantees
Isaac Gibbs, John J. Cherian, Emmanuel J. Candès
We consider the problem of constructing distribution-free prediction sets with finite-sample conditional guarantees. Prior work has shown that it is impossible to provide exact con…
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
Isaac Gibbs, Emmanuel Candès
We consider the problem of forming prediction sets in an online setting where the distribution generating the data is allowed to vary over time. Previous approaches to this problem…
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs, Emmanuel Candès
We develop methods for forming prediction sets in an online setting where the data generating distribution is allowed to vary over time in an unknown fashion. Our framework builds…