Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes

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dc.contributor.authorAbbasnejad, Ehsan
dc.contributor.authorSanner, Scott
dc.contributor.authorBonilla, Edwin
dc.contributor.authorPoupart, Pascal
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-10T23:19:58Z
dc.date.createdAugust 3-9 2013
dc.date.issued2013
dc.date.updated2015-12-10T10:19:25Z
dc.description.abstractBayesian approaches to preference learning using Gaussian Processes (GPs) are attractive due to their ability to explicitly model uncertainty in users' latent utility functions; unfortunately existing techniques have cubic time complexity in the number of
dc.identifier.isbn9781577356332
dc.identifier.urihttp://hdl.handle.net/1885/66132
dc.publisherAAAI Press
dc.relation.ispartofseries23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
dc.sourceIJCAI International Joint Conference on Artificial Intelligence
dc.source.urihttp://ijcai.org/papers13/contents.php
dc.titleLearning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes
dc.typeConference paper
local.bibliographicCitation.lastpage1219
local.bibliographicCitation.startpage1213
local.contributor.affiliationAbbasnejad, Ehsan, College of Engineering and Computer Science, ANU
local.contributor.affiliationSanner, Scott, College of Engineering and Computer Science, ANU
local.contributor.affiliationBonilla, Edwin, College of Engineering and Computer Science, ANU
local.contributor.affiliationPoupart, Pascal, University of Waterloo
local.contributor.authoruidAbbasnejad, Ehsan, u4940058
local.contributor.authoruidSanner, Scott, u1817461
local.contributor.authoruidBonilla, Edwin, u4882938
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080107 - Natural Language Processing
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1226
local.identifier.scopusID2-s2.0-84896062028
local.type.statusPublished Version

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