Summer School
Cambridge ELLIS Unit Summer School on Probabilistic Machine Learning 2026
The Cambridge Ellis Unit Summer School on Probabilistic Machine Learning from 13-17 July 2026 is a distinguished course offered to graduate students, researchers and professionals, featuring engaging experts in their respective field and world-recognized professionals speaking about advanced machine learning concepts.
Themes
Introduction to Probabilistic Modelling – Monday
Uncertainty in Deep Learning and Uncertainty Quantification – Tuesday
Generative Models – Wednesday
Decision Making Under Uncertainty – Thursday
Probabilistic Methods in the Sciences – Friday
Apply
Applications for the Ellis Unit Summer School 2026 are now being accepted.
Please note the event is aimed at postgraduate level students, not undergraduates.
Deadline for applications: 17 May
Applicants will be notified of the outcome of their application by 30 May.
