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Conformal Frequency Estimation with Sketched Data

NeurIPS 2022 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Conformal prediction methods · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use adaptive (isotonic regression) conformity scores instead of constant scores (ablation)conformalized sketching · Zipf data, CMS-CUinterval lengthHelped
conformal bounds versus classical boundconformalized sketching · Zipf data, CMS-CUinterval lengthHelped
conformal bounds versus bootstrap bounds on CMS-CUconformalized sketching · Zipf data, CMS-CUinterval lengthHelped
conformal bounds versus bootstrap bounds on vanilla CMSconformalized sketching · Zipf data, vanilla CMSinterval lengthNo clear effect
sketch with CMS-CU instead of vanilla CMS (ablation)all methods · Zipf dataquery precisionHelped
conformal versus Bayesian methodconformalized sketching · Zipf datacoverageHelped
increase hash width wconformal methods · SARS-CoV-2 16-mersinterval lengthHelped
small hash width wall methods · SARS-CoV-2 16-mersinterval lengthNo clear effect
conformal adaptive lower bound at alpha 0.5 as point estimateconformalized sketching · SARS-CoV-2 16-mersabsolute deviationHelped
conformal adaptive intervals on power-law 2-gram dataconformalized sketching · English 2-gramsinterval lengthHelped
Bayesian method with narrow hash widthsBayesian benchmark · English 2-gramscoverageHurt

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