Ecole d'ingénieur et centre de recherche en Sciences du numérique

Practical and scalable inference for deep Gaussian processes

Filippone, Muarizio

MASCOT-NUM 2017, Keynote Speech, March 23, 2017, Paris, France

Bibtex

Titre:Practical and scalable inference for deep Gaussian processes
Type:Talk
Langue:English
Ville:Paris
Pays:FRANCE
Date:
Département:Data Science
Eurecom ref:5168
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in MASCOT-NUM 2017, Keynote Speech, March 23, 2017, Paris, France and is available at :
Bibtex: @talk{EURECOM+5168, year = {2017}, title = {{P}ractical and scalable inference for deep {G}aussian processes}, author = {{F}ilippone, {M}uarizio}, number = {EURECOM+5168}, month = {03}, institution = {Eurecom} address = {{P}aris, {FRANCE}}, url = {http://www.eurecom.fr/publication/5168} }
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