I work as a Senior Machine Learning Researcher at Samsung researching LLM safety and differentially private, federated estimation.
My interests include reasoning, theoretical aspects of statistical machine learning, LLMs, deep learning and applications of machine learning to science.
I was a DPhil student in machine learning at Oxford, supervised by Varun Kanade and Yee Whye Teh.
I spent August-December 2022 at DeepMind working on U-Clip, supervised by Marcus Hutter.
I spent the second half of 2021 year doing AI research at X (formerly Google [x]) supervised by David Duvenaud.
In 2020 I was part of the Royal Society’s DELVE initiative. This is a multidisciplinary group formed in response to the coronavirus pandemic.
Before my PhD I was a quant at Tudor, and before that I studied maths and theoretical physics at Cambridge where I was fortunate to be taught by Stephen Siklos.
I was not a normal Cambridge applicant. Over the years I’ve helped a few others bridge the gap. If you want help, send me an email.
Note: I prefer my Arabic name Hayder, but prior to 2024 I used my Welsh name, Bryn.
Publications and Preprints
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Symmetry and Generalisation in Machine Learning. Bryn Elesedy. PhD Thesis. link
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U-Clip: On-Average Unbiased Stochastic Gradient Clipping. Bryn Elesedy, Marcus Hutter. Preprint. link
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Group Symmetry in PAC Learning. Bryn Elesedy. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Spotlight. link
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Provably Strict Generalisation Benefit for Invariance in Kernel Methods. Bryn Elesedy. NeurIPS 2021. link
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Provably Strict Generalisation Benefit for Equivariant Models. Bryn Elesedy and Sheheryar Zaidi. ICML 2021. link
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Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the COVID-19 Epidemic in British Local Authorities. Yee Whye Teh, {Avishkar Bhoopchand, Peter Diggle, Bryn Elesedy, Bobby He, Michael Hutchinson, Ulrich Paquet, Jonathan Read, Nenad Tomasev, Sheheryar Zaidi} {alphabetical ordering}. Royal Society Special Topic Meeting on R, Local R and Transmission of COVID-19. Website: localcovid.info. link
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Effectiveness and Resource Requirements of Test, Trace and Isolate Strategies. {Bobby He, Sheheryar Zaidi, Bryn Elesedy, Michael Hutchinson}, Andrei Paleyes, Guy Harling, Anne Johnson, Yee Whye Teh on behalf of Royal Society DELVE group {equal contribution}. Royal Society Open Science, 2021. Extended report. link
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Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning. Bryn Elesedy, Varun Kanade, Yee Whye Teh. Sparsity in Neural Networks Workshop, 2021. link