University of Cambridge > > Machine Learning Reading Group @ CUED > Kernel Mean Embeddings

Kernel Mean Embeddings

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

If you have a question about this talk, please contact Alessandro Davide Ialongo.

This talk will offer a general introduction to Kernel Mean Embeddings of distributions as well as a more in-depth treatment of Maximum Mean Discrepancy and Kernel Bayes’ Rule.

No reading is required, but for those interested here’s a good review article:

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, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity