University of Cambridge > Talks.cam > ML@CL Seminar Series > If Bayesian inference is rational, what is approximate inference?

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

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

ℹī¸ Information

If Bayesian inference is rational, what is approximate inference?

Download to your calendar using vCal

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

https://us04web.zoom.us/j/78726354602?pwd=wd4oRhKPoa0PAI00vbr_SlqqV97Mby.1

There are some good reasons to like Bayesian inference, but these are awkwardly mostly also reasons to dislike approximate Bayesian inference. Nevertheless, we need approximations. So are there any ways to understand what would make one approximate inference scheme better than another? I argue that this is very hard. Sequential learning problems like active and continual learning could be seen as evaluations of approximate inference, but doing this carefully is more subtle than it at first seems.

This talk is part of the ML@CL Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Average on weekdays: 8804.80612245 kWh LCLU Seminars The Penridge Suite, 470 Bowes Road, London, N11 1NL

Other talks

TBC Talk TBC Tissue-scale communication in cancer development Bacterial Physiology During Growth Arrest: Can It Be Targeted by Anti-Bacterial Therapeutics? Morning Break Cooperation in Nature
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity