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dc.contributor.authorChen, Sitan
dc.contributor.authorKoehler, Frederic
dc.contributor.authorMoitra, Ankur
dc.contributor.authorYau, Morris
dc.date.accessioned2022-10-12T17:41:41Z
dc.date.available2022-10-12T17:41:41Z
dc.date.issued2022-02
dc.identifier.urihttps://hdl.handle.net/1721.1/145807
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/focs52979.2021.00072en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleOnline and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contaminationen_US
dc.typeArticleen_US
dc.identifier.citationChen, Sitan, Koehler, Frederic, Moitra, Ankur and Yau, Morris. 2022. "Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination." 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.relation.journal2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-12T17:27:41Z
dspace.orderedauthorsChen, S; Koehler, F; Moitra, A; Yau, Men_US
dspace.date.submission2022-10-12T17:27:42Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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