We are delighted to announce the INFORMED AI Hub’s seminar series for Term 1 of 2025/26 academic year.
The schedule of talks is detailed below. Events are open to all interested parties and will be hybrid to enable in person or online attendance. The seminar/ talk will run from 2.00 – 3.00pm followed by 30 minutes for questions. Please get in touch with the organisers via informed-ai@bristol.ac.uk to express your interest in joining online or in person:
- Tuesday 4 November – Amir Asadi, University of University of Cambridge ‘Multiscale Machine Learning: An Information-Theoretic Approach’ (Online and hosted at University of Cambridge)
- Tuesday 11 November – Yuting Wei, University of Pennsylvania ‘Transformers Meet In-Context Learning: A Universal Approximation Theory’ (Online and hosted at University of Cambridge)
- Thursday 20 November – Denny Wu, Faculty Fellow at the Center for Data Science, New York University and the Flatiron Institute ‘Learning shallow neural networks in high dimensions: SGD dynamics and scaling laws’ (Online and hosted at University of Cambridge)
- Friday 21 November – Andras Gyorgy, Google Deepmind ‘Statistical vs. Exact Learning and Artificial General Intelligence’ (Online and hosted at Imperial College)
- Tuesday 25 November – no seminar
- POSTPONED – Haitham Bou-Ammar – title and date tbc – (Online and hosted at University of Cambridge)
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Previous seminars
Tuesday 23 September – Raymond Yeung ‘Inequalities Revisited‘ (Hosted at University of Bristol)
Monday 29 September – Aditya Ramamoorthy ‘Efficient gradient coding for mitigating stragglers within distributed machine learning‘ (Hosted at University of Bristol)
Tuesday 7 October – Yingzhen Li (Imperial College London) ‘Variational Uncertainty Decomposition for In-Context Learning’ (Online and hosted at Imperial College)
Tuesday 14 October – Archana Bura, Univeristy of California San Diego ‘Structure-Aware Reinforcement Learning for Constrained Control’ (online only)
Tuesday 21 October – Lasse Vuursteen from University of Pennsylvania (Online only)
Tuesday 28 October – no seminar
