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citation dossier

On statistical learning via the lens of compression

stub below hub threshold · 1 Pith inbound

Ofir David, Shay Moran, and Amir Yehudayoff · 2016

1Pith papers citing it
1reference links
cs.LGtop field · 1 papers
UNVERDICTEDtop verdict bucket · 1 papers

This DOI or bibliographic work is known through the citation graph. Pith is enriching metadata through Crossref/OpenAlex; full non-arXiv reviews need publisher/open-access PDF resolution.

why this work matters in Pith

Pith has found this work in 1 reviewed paper. Its strongest current cluster is cs.LG (1 papers). The largest review-status bucket among citing papers is UNVERDICTED (1 papers). For highly cited works, this page shows a dossier first and a bounded explorer second; it never tries to render every citing paper at once.

fields

cs.LG 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

High-arity Sample Compression

cs.LG · 2026-05-12 · unverdicted · novelty 6.0

Existence of a high-arity sample compression scheme of non-trivial quality implies high-arity PAC learnability.

citing papers explorer

Showing 1 of 1 citing paper.

  • High-arity Sample Compression cs.LG · 2026-05-12 · unverdicted · none · ref 9

    Existence of a high-arity sample compression scheme of non-trivial quality implies high-arity PAC learnability.