Recent Developments in Bayesian Deep Learning
- π€ Speaker: Andrew Foong, Siddharth Swaroop
- π Date & Time: Wednesday 22 April 2020, 11:00 - 12:30
- π Venue: https://meet.google.com/hhq-zqtq-siq
Abstract
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.
Series This talk is part of the Machine Learning Reading Group @ CUED series.
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Wednesday 22 April 2020, 11:00-12:30