{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-short-note-on-learning-discrete","title":"A short note on learning discrete distributions","arxiv_id":"2002.11457","date":"2020-02-25","proceeding":null,"authors":["Clément L. Canonne"],"abstract":"The goal of this short note is to provide simple proofs for the \"folklore facts\" on the sample complexity of learning a discrete probability distribution over a known domain of size $k$ to various distances $\\varepsilon$, with error probability $\\delta$.","url_abs":"https://arxiv.org/abs/2002.11457v3","url_pdf":"https://arxiv.org/pdf/2002.11457v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"a-short-note-on-learning-discrete","repo_url":"https://github.com/cxjdavin/active-causal-structure-learning-with-advice","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2002.11457","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}