*** REGISTRATION NOW OPEN! ***
The Sargent Centre is delighted to announce we are hosting our third edition summer school, on the topic of Data-driven optimisation: Bayesian optimisation.
The school will consist of preliminary tutorials on Gaussian processes and Bayesian optimisation. Attendees will gain a foundation in the underlying principles, and learn probabilistic modelling and sequential decision-making. With hands-on exercises, students will develop their understanding of how Gaussian processes serve as powerful tools for modelling uncertainty and guiding decision-making processes.
As the program develops, participants will explore Bayesian optimisation from different experts, going into diverse applications across high-dimensional spaces, molecular discovery, real-time optimisation, and safety-critical systems in science and engineering.
From navigating the complexities of multi-fidelity Bayesian optimisation to harnessing the potential of batch Bayesian optimisation for high-throughput experimentation, students will discover how Bayesian techniques can be used both in industry and academia.
No prior knowledge of Bayesian Optimisation is required to participate in the Summer School.
Don't miss out on a place. Join us and REGISTER TODAY!
Friday 6 September 2024:
Our PSEResearchDay on ALL topics of Optimisation, not just on Bayesian Optimisation. Showcase your research in our poster and presentation sessions. To submit your abstract, please follow this link.
Thanks to our sponsors, we are able to offer generous prizes for both oral and poster presentations.
Deadline for submission: 31 July 2024
Outcomes on the 5th of August 2024
Please note, you can submit your abstract now, but to be considered, you will need to register for the event. If you have registered for the Summer School, the PSEResearchDay is included in the registration. Should you wish to attend the Friday only, you can register just for this day.
WITH THANKS TO THE SPONSORS OF OUR EVENT: |
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