University of Cambridge > Talks.cam > Machine Learning Reading Group @ CUED > Deep Kernels

Deep Kernels

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

If you have a question about this talk, please contact Elre Oldewage.

Deep kernel learning methods try to combine the expressive power of neural networks with the uncertainty representation of Gaussian processes. This is achieved by learning a feature extractor to transform the input data before using a Gaussian process model. In this talk, we will describe what deep kernel learning is in depth, before discussing recent advances and insights.

There is no recommended reading.

Our reading groups are livestreamed via Zoom and recorded for our Youtube channel. The Zoom details are distributed via our weekly mailing list.

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.

 

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