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GPflowOpt: A bayesian optimization library using tensorflow

dc.contributor.authorKnudde, Nicolas
dc.contributor.authorvan der Herten, Joachim
dc.contributor.authorDhaene, Tom
dc.contributor.authorCouckuyt, Ivo
dc.date.accessioned2021-10-24T07:02:26Z
dc.date.available2021-10-24T07:02:26Z
dc.date.issued2017-12
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/28696
dc.sourceIIOimport
dc.titleGPflowOpt: A bayesian optimization library using tensorflow
dc.typeProceedings paper
dc.contributor.imecauthorKnudde, Nicolas
dc.contributor.imecauthorvan der Herten, Joachim
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage5
dc.source.conferenceNeural Information Processing Systems 2017 - Workshop on Bayesian Optimization
dc.source.conferencedate4/12/2017
dc.source.conferencelocationLong Beach, CA USA
imec.availabilityPublished - open access


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