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  Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning

Bauer, M. (2019). Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning. PhD Thesis, University of Cambridge, Cambridge.

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 Creators:
Bauer, Matthias1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2019-11-28
 Publication Status: Accepted / In Press
 Pages: XII, 240
 Publishing info: Cambridge : University of Cambridge
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.17863/CAM.50344
 Degree: PhD

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