Entrywise error bounds for spectral methods on BTL ranking under semi-random adversaries depend on graph spectral properties and can be recovered asymptotically via reweighting to restore the spectral gap.
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Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries
Entrywise error bounds for spectral methods on BTL ranking under semi-random adversaries depend on graph spectral properties and can be recovered asymptotically via reweighting to restore the spectral gap.