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SUMMARY:Deep Kernels - Sebastian Ober and Austin Tripp (University of Camb
 ridge)
DTSTART:20211117T110000Z
DTEND:20211117T123000Z
UID:TALK165124@talks.cam.ac.uk
CONTACT:Elre Oldewage
DESCRIPTION:Deep kernel learning methods try to combine the expressive pow
 er of neural networks with the uncertainty representation of Gaussian proc
 esses. This is achieved by learning a feature extractor to transform the i
 nput data before using a Gaussian process model. In this talk\, we will de
 scribe what deep kernel learning is in depth\, before discussing recent ad
 vances and insights.\n\nThere is no recommended reading.\n\nOur reading gr
 oups are livestreamed via Zoom and recorded for our Youtube channel. The Z
 oom details are distributed via our weekly mailing list.
LOCATION: Cambridge University Engineering Department \,LR3A
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