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Relatively Smart: A New Approach for Instance-Optimal Learning

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arXiv:2603. 01346v2 Announce Type: replace-cross Abstract: We revisit the framework of Smart PAC learning, which seeks supervised learners which compete with semi-supervised learners that are provided full knowledge of the marginal distribution on unlabeled data.

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Authors: Shaddin Dughmi, Alireza F. Pour
Released: 2026-06-24 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Relatively Smart: A New Approach for Instance-Optimal Learning overlaps with experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?". Matching terms: full. Source: arxiv stat.ML (Machine Learning).
arXiv: 2603.01346

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