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Research map / Learning theory and algorithms / Prediction and decision losses

Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing

NeurIPS 2016 · Learning theory and algorithms › Prediction and decision losses · approach: Data attribution and recourse · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Make workers' skill levels known to the crowdsourcerM-ary symmetric channel crowdsourcing · N-ary crowdsourcingminimum queries per itemHelped
Increase k in k-ary incidence codingk-ary incidence coding · Binary labeling with SHC(q)error probability lower boundHelped
Increase hammer probability qk-ary incidence coding · Binary labeling with SHC(q)error probability lower boundHelped

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