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Generalized Mixability via Entropic Duality

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dc.contributor.authorReid, Mark
dc.contributor.authorFrongillo, Rafael M.
dc.contributor.authorWilliamson, Robert
dc.contributor.authorMehta, Nishant A
dc.contributor.editorPeter Grünwald
dc.contributor.editorElad Hazan
dc.contributor.editorSatyen Kale
dc.coverage.spatialParis, France
dc.date.accessioned2016-06-14T23:21:03Z
dc.date.createdJuly 3 - 6, 2015
dc.date.issued2015
dc.date.updated2019-05-19T08:21:17Z
dc.identifier.urihttp://hdl.handle.net/1885/103693
dc.publisherJMLR
dc.relation.ispartofseriesConference on Learning Theory COLT 2015
dc.rightsAuthor/s retain copyright
dc.sourceExp-Concavity of Proper Composite Losses
dc.source.urihttp://arxiv.org/abs/1406.6130
dc.titleGeneralized Mixability via Entropic Duality
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage22
local.bibliographicCitation.startpage1
local.contributor.affiliationReid, Mark, College of Engineering and Computer Science, ANU
local.contributor.affiliationFrongillo, Rafael M., Harvard University
local.contributor.affiliationWilliamson, Robert, College of Engineering and Computer Science, ANU
local.contributor.affiliationMehta, Nishant A, College of Engineering and Computer Science, ANU
local.contributor.authoruidReid, Mark, u4466898
local.contributor.authoruidWilliamson, Robert, u9000163
local.contributor.authoruidMehta, Nishant A, u5406830
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4056230xPUB456
local.identifier.scopusID2-s2.0-84984674681
local.type.statusPublished Version

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