Seth Nabarro
I am a machine learning PhD student at Imperial College London, supervised by Mark van der Wilk and Andrew Davison.
I studied physics at Imperial for my undergrad degree, followed by a master’s degree in computational statistics and machine learning at University College London. Before starting my PhD I was a research engineer at Graphcore, looking at hardware acceleration of probabilistic machine learning.
Among other things I am interested in Bayesian deep learning, Bayesian model selection, local and distributed learning methods, generative modelling.
news
Nov 7, 2023 | Presented some recent papers on forward gradients (Baydin et al., 2022, Ren et al., 2023) at reading group (slides). |
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Jun 30, 2023 | Won Best Poster for Learning in deep factor graphs with Gaussian belief propagation at the Imperial College Computing Summer Conference, 2023. |
May 26, 2023 | I was identified as a Top Reviewer for UAI 2023. |
Aug 5, 2022 | Presented Data augmentation in Bayesian neural networks and the cold posterior effect at UAI in Eindhoven. |