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dc.contributor.authorCherapanamjeri, Yeshwanth
dc.contributor.authorDaskalakis, Constantinos
dc.contributor.authorIlyas, Andrew
dc.contributor.authorZampetakis, Manolis
dc.date.accessioned2023-07-06T20:11:29Z
dc.date.available2023-07-06T20:11:29Z
dc.date.issued2023-06-02
dc.identifier.isbn978-1-4503-9913-5
dc.identifier.urihttps://hdl.handle.net/1721.1/151004
dc.publisherACM|Proceedings of the 55th Annual ACM Symposium on Theory of Computingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3564246.3585177en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleWhat Makes a Good Fisherman? Linear Regression under Self-Selection Biasen_US
dc.typeArticleen_US
dc.identifier.citationCherapanamjeri, Yeshwanth, Daskalakis, Constantinos, Ilyas, Andrew and Zampetakis, Manolis. 2023. "What Makes a Good Fisherman? Linear Regression under Self-Selection Bias."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_CC
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.updated2023-07-01T07:50:24Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-07-01T07:50:24Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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