Cambridge
Summer School

Cambridge ELLIS Unit Summer School on Probabilistic Machine Learning 2026

13/07/26 - 17/07/26
Cambridge
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.

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