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Preprint Aug 2026

Distribution-Free Halfspace Testing with Samples

It is proved that testing is no more efficient than learning for halfspaces in the distribution-free sample-based model, and it is established that two-sided halfspace testers in this model have no advantage over one-sided testers.

Xi Chen, Renato Ferreira Pinto, Nathaniel Harms et al. · 0 citations