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dc.contributor.authorAdler, Aviv
dc.contributor.authorTang, Jennifer
dc.contributor.authorPolyanskiy, Yury
dc.date.accessioned2022-07-19T12:13:47Z
dc.date.available2022-07-19T12:13:47Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143840
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/ISIT45174.2021.9518081en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleQuantization of Random Distributions under KL Divergenceen_US
dc.typeArticleen_US
dc.identifier.citationAdler, Aviv, Tang, Jennifer and Polyanskiy, Yury. 2021. "Quantization of Random Distributions under KL Divergence." 2021 IEEE International Symposium on Information Theory (ISIT).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journal2021 IEEE International Symposium on Information Theory (ISIT)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-19T12:08:43Z
dspace.orderedauthorsAdler, A; Tang, J; Polyanskiy, Yen_US
dspace.date.submission2022-07-19T12:08:44Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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