GPflow: A Gaussian Process Library using TensorFlow

Journal of Machine Learning Research

Volumn 18, Issue , 2017, Pages

  Matthews, Alexander G De G ^a   Van Der Wilk, Mark ^a   Nickson, Tom ^b   Fujii, Keisuke ^c   Boukouvalas, Alexis ^d   León Villagrá, Pablo ^e   Ghahramani, Zoubin ^a   Hensman, James ^f  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c KYOTO UNIVERSITY   (Japan)

^d UNIVERSITY OF MANCHESTER   (United Kingdom)

^e UNIVERSITY OF EDINBURGH   (United Kingdom)

^f LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; GAUSSIAN NOISE (ELECTRONIC); SOFTWARE TESTING;

APPROXIMATION METHODS; AUTOMATIC DIFFERENTIATIONS; CORE COMPUTATION; GAUSSIAN PROCESSES; VARIATIONAL INFERENCE;

GAUSSIAN DISTRIBUTION;

EID: 85020889788     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

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