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Freddie Bickford Smith

Associate Member (PhD), started 2020

Freddie is a DPhil student working with Tom Rainforth, Seb Farquhar and Jakob Foerster. His main interests are uncertainty estimation and unsupervised learning. Before joining OATML, he worked on deep learning for cognitive science with Brad Love, Brett Roads and Ed Grefenstette at UCL. He has degrees in machine learning (UCL) and mechanical engineering (Bristol).

Publications while at OATMLNews items mentioning Freddie Bickford SmithReproducibility and CodeBlog Posts

Publications while at OATML:

Continual Learning via Sequential Function-Space Variational Inference

Sequential Bayesian inference over predictive functions is a natural framework for continual learning from streams of data. However, applying it to neural networks has proved challenging in practice. Addressing the drawbacks of existing techniques, we propose an optimization objective derived by formulating continual learning as sequential function-space variational inference. In contrast to existing methods that regularize neural network parameters directly, this objective allows parameters to vary widely during training, enabling better adaptation to new tasks. Compared to objectives that directly regularize neural network predictions, the proposed objective allows for more flexible variational distributions and more effective regularization. We demonstrate that, across a range of task sequences, neural networks trained via sequential function-space variational inference achieve better predictive accuracy than networks trained with related methods while depending less on maintain... [full abstract]

Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal
ICML, 2022
ICML Workshop on Theory and Foundations of Continual Learning, 2021
ICML Workshop on Subset Selection in Machine Learning, from Theory to Applications, 2021
[Paper] [BibTex]
More publications on Google Scholar.

News items mentioning Freddie Bickford Smith:

OATML to co-organize the Workshop on Computational Biology at ICML 2022

OATML to co-organize the Workshop on Computational Biology at ICML 2022

04 May 2022

OATML student Pascal Notin is co-organizing the 7th edition of the Workshop on Computational Biology (WCB) at ICML 2022 jointly with collaborators at Harvard, Columbia, Cornell and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Andreas Kirsch and Lood Van Niekerk are part of the PC.

Link to this news item

Blog Posts

OATML at ICML 2022

OATML group members and collaborators are proud to present 11 papers at the ICML 2022 main conference and workshops. Group members are also co-organizing the Workshop on Computational Biology, and the Oxford Wom*n Social. …

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Sören Mindermann, Jan Brauner, Muhammed Razzak, Andreas Kirsch, Aidan Gomez, Sebastian Farquhar, Pascal Notin, Tim G. J. Rudner, Freddie Bickford Smith, Neil Band, Panagiotis Tigas, Andrew Jesson, Lars Holdijk, Joost van Amersfoort, Kelsey Doerksen, Jannik Kossen, Yarin Gal, 17 Jul 2022

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