University of Cambridge > Talks.cam > Machine Learning Reading Group @ CUED > Recent Developments in Bayesian Deep Learning

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Recent Developments in Bayesian Deep Learning

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Robert Pinsler.

Different groups have taken differing positions on the motivations 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 topics. In addition, we provide an overview of state-of-the-art techniques in BDL , with an emphasis on Stochastic Gradient MCMC and variational inference.

This talk is part of the Machine Learning Reading Group @ CUED series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

EA: Cambridge Graphene CDT Advanced Technology Lectures

Other talks

Origins of Super-Earths in Inner Solar Systems Offshore oil, unruly icebergs, and the war against unpredictability in the North Atlantic Ocean Introduction to Raja Yoga Meditation - Online on Zoom CANCELLED - Patagonia CANCELLED DUE TO COVID-19 - TBC
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity