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dc.contributor.authorAlon, Noga
dc.contributor.authorBen-Eliezer, Omri
dc.contributor.authorDagan, Yuval
dc.contributor.authorMoran, Shay
dc.contributor.authorNaor, Moni
dc.contributor.authorYogev, Eylon
dc.date.accessioned2022-10-21T16:56:12Z
dc.date.available2022-10-21T16:56:12Z
dc.date.issued2021-06-15
dc.identifier.isbn978-1-4503-8053-9
dc.identifier.urihttps://hdl.handle.net/1721.1/145925
dc.publisherACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3406325.3451041en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computingen_US
dc.titleAdversarial Laws of Large Numbers and Optimal Regret in Online Classificationen_US
dc.typeArticleen_US
dc.identifier.citationAlon, Noga, Ben-Eliezer, Omri, Dagan, Yuval, Moran, Shay, Naor, Moni et al. 2021. "Adversarial Laws of Large Numbers and Optimal Regret in Online Classification."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-20T14:15:59Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-10-20T14:15:59Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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