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Research map / Learning theory and algorithms / Sample complexity

Label Ranking through Nonparametric Regression

ICML 2022 · Learning theory and algorithms › Sample complexity · approach: Sample complexity of ranking and selection · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase regression-noise levelDecision trees and random forests · Synthetic LFN and SFNmean k_tauHurt
Use shallow trees instead of fully grown decision treesDecision trees · Synthetic LFN and SFNmean k_tauHelped
Use fully grown honest random forests instead of fully grown decision treesDecision trees · Synthetic LFN and SFNmean k_tauHelped

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