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Bayesian Nonparametric Models on Decomposable Graphs

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorCARON, Francois
hal.structure.identifierDept of Statistics & Dept of Computer Science
dc.contributor.authorDOUCET, Arnaud
dc.date.issued2009-12
dc.date.conference2009-12-07
dc.description.abstractEnOver recent years Dirichlet processes and the associated Chinese restaurant process (CRP) have found many applications in clustering while the Indian buffet process (IBP) is increasingly used to describe latent feature models. In the clustering case, we associate to each data point a latent allocation variable. These latent variables can share the same value and this induces a partition of the data set. The CRP is a prior distribution on such partitions. In latent feature models, we associate to each data point a potentially infinite number of binary latent variables indicating the possession of some features and the IBP is a prior distribution on the associated infinite binary matrix. These prior distributions are attractive because they ensure exchangeability (over samples). We propose here extensions of these models to decomposable graphs. These models have appealing properties and can be easily learned using Monte Carlo techniques.
dc.language.isoen
dc.title.enBayesian Nonparametric Models on Decomposable Graphs
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.conference.titleNeural Information Processing Systems
bordeaux.countryCA
bordeaux.conference.cityVancouver
bordeaux.peerReviewedoui
hal.identifierinria-00419966
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2009-12-10
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00419966v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2009-12&rft.au=CARON,%20Francois&DOUCET,%20Arnaud&rft.genre=unknown


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