CROC constructs finite-sample valid confidence sets for the root-cause index in multi-stream change detection using conformal p-values under independence and exchangeability assumptions.
arXiv preprint arXiv:2409.16829 , year=
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A unified framework is developed for co-designing reliability and efficiency to enable efficient reliable inference with trustworthy uncertainty quantification in AI models.
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Distribution-free root cause analysis
CROC constructs finite-sample valid confidence sets for the root-cause index in multi-stream change detection using conformal p-values under independence and exchangeability assumptions.
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Foundations of Reliable Inference: Reliability-Efficiency Co-Design
A unified framework is developed for co-designing reliability and efficiency to enable efficient reliable inference with trustworthy uncertainty quantification in AI models.