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04/29/2023
Sequential Predictive Two-Sample and Independence Testing
We study the problems of sequential nonparametric two-sample and indepen...
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12/14/2022
Sequential Kernelized Independence Testing
Independence testing is a fundamental and classical statistical problem ...
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10/12/2021
Tracking the risk of a deployed model and detecting harmful distribution shifts
When deployed in the real world, machine learning models inevitably enco...
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03/04/2021
Distribution-free uncertainty quantification for classification under label shift
Trustworthy deployment of ML models requires a proper measure of uncerta...
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06/18/2020