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Cambridge ELLIS Summer School 2024: A Five-Day Immersion into Advanced Probabilistic Machine Learning

Join us for the 3rd edition of the Cambridge ELLIS Summer School on Probabilistic Machine Learning, taking place from July 15th to 19th, 2024, in the historic city of Cambridge, UK. This intensive five-day programme is open to graduate students, researchers, and professionals, offering a unique opportunity to delve into the latest advancements and trends in probabilistic machine learning.

Get ready for insightful talks from world-renowned experts in the field, covering topics such as deep generative models, reinforcement learning, uncertainty quantification, and probabilistic numerics. Participants will also have the chance to present their research during poster sessions and engage in thought-provoking discussions with their peers and industry professionals.

The summer school will culminate in a Cambridge-style formal dinner for all participants, providing an excellent opportunity to network and forge new collaborations. Additionally, attendees can look forward to an extra poster session and a networking event sponsored by ELLIS Meetup, where the latest machine learning research will be showcased and discussed.

To apply, please submit your application online by May 8, 2022. We welcome applications from young researchers, as well as senior researchers and industrial professionals. Acceptance notifications will be sent by May 22, 2022.

Attendance is free, with coffee, lunch, and dinner on the last day provided for participants. Participants are responsible for their own travel and accommodation costs. For more information, visit the summer school website.

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