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 Apr 27 2021 13.15 - 16.30 Interfaces Between Statistics, Machine Learning and AI Bringing together researchers and practitioners working in these related fields. Online Register and Submit Poster
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 Apr 27 2021 13.15 - 16.30 Interfaces Between Statistics, Machine Learning and AI Bringing together researchers and practitioners working in these related fields. Online Register and Submit Poster
Apr 27 2021 13.15 - 16.30 Interfaces Between Statistics, Machine Learning and AI Bringing together researchers and practitioners working in these related fields.