Interfaces Between Statistics, Machine Learning and AI
The Centre for Statistics and the Bayes Centre are delighted to present 'Interfaces between Statistics, Machine Learning and AI'. The research day will bring together researchers and practitioners working in the related fields of statistics, machine learning and artificial intelligence.
The day will features four invited talks and a poster session to share recent advances and catch up with colleagues.
The event will take place online.
Register Here & Submit Your Poster
Posters:
We welcome all posters on topic, including those that have been presented elsewhere before.
To submit your poster, please attach it to the registration form.
Poster submission will close on April 19th.
Running Order:
13.15: Introduction
13.20: Kobi Gal, School of Informatics
13.50: Natalia Bochkina, School of Mathematics
14.20: Break
14.30: Peggy Series, School of Informatics
15.00: Victor Elvira, School of Mathematics
15.30: Posters in Gather.Town
16.30: Event Ends
Talk Title and Abstracts:
| Talk Title | Abstracts |
| AI for Online Collaborative Group Learning |
Kobi Gal, School of Informatics |
|
Bayesian Full Ranking from Pairwise Comparisons |
Natalia Bochkina, School of Mathematics |
| Bayesian Approaches to Understanding Mental Illness |
Peggy Series, School of Informatics |
| Efficient Monte Carlo methods for Bayesian inference |
Victor Elvira, School of Mathematics |
Interfaces Between Statistics, Machine Learning and AI
Online