• Symmetry and Generalisation in Machine Learning. Bryn Elesedy. PhD Thesis. link

• U-Clip: On-Average Unbiased Stochastic Gradient Clipping. Bryn Elesedy, Marcus Hutter. Preprint. link

• Group Symmetry in PAC Learning. Bryn Elesedy. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Spotlight. link

• Provably Strict Generalisation Benefit for Invariance in Kernel Methods. Bryn Elesedy. NeurIPS 2021. link

• Provably Strict Generalisation Benefit for Equivariant Models. Bryn Elesedy and Sheheryar Zaidi. ICML 2021. link

• 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

• 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

• 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