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SUMMARY:Recent Developments in Bayesian Deep Learning - Andrew Foong\, Sid
 dharth Swaroop
DTSTART:20200422T100000Z
DTEND:20200422T113000Z
UID:TALK141799@talks.cam.ac.uk
CONTACT:Robert Pinsler
DESCRIPTION:Different groups have taken differing positions on the motivat
 ions and goals of Bayesian deep learning. This has led to a range of ideas
  on which benchmarks we should use and the importance/quality of the prior
  and of posterior inference. We hope to start a discussion on these\ntopic
 s. In addition\, we provide an overview of state-of-the-art techniques in 
 BDL\, with an emphasis on Stochastic Gradient MCMC and variational inferen
 ce.
LOCATION:https://meet.google.com/hhq-zqtq-siq
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