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Sebastian W Ober

University of Cambridge, Cambridge, UK

bayesian deep learning

gaussian processes

deep kernel learning

marginal likelihood

1

presentations

3

number of views

SHORT BIO

Sebastian is a PhD student and Gates Cambridge Scholar at the Computational & Biological Learning Lab in the University of Cambridge, studying with Carl E. Rasmussen. His research primarily focuses on variational inference in deep Bayesian models, but he is also interested broadly in Gaussian processes and probabilistic modeling.

Presentations

The Promises and Pitfalls of Deep Kernel Learning

Sebastian W Ober and 2 other authors

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