Search Results - "Elesedy, Bryn"

Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK by He, Bobby, Zaidi, Sheheryar, Elesedy, Bryn, Hutchinson, Michael, Paleyes, Andrei, Harling, Guy, Johnson, Anne M, Whye Teh, Yee

“…We use an individual-level transmission and contact simulation model to explore the effectiveness and resource requirements of various test-trace-isolate (TTI)…”
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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 by Teh, Yee Whye, Elesedy, Bryn, He, Bobby, Hutchinson, Michael, Zaidi, Sheheryar, Bhoopchand, Avishkar, Paquet, Ulrich, Tomasev, Nenad, Read, Jonathan, Diggle, Peter J.

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Authors' reply to the discussion of ‘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’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 by Teh, Yee Whye, Elesedy, Bryn, He, Bobby, Hutchinson, Michael, Zaidi, Sheheryar, Bhoopchand, Avishkar, Paquet, Ulrich, Tomasev, Ne‐nad, Read, Jonathan, Diggle, Peter J.

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Provably Strict Generalisation Benefit for Invariance in Kernel Methods by Elesedy, Bryn

“…It is a commonly held belief that enforcing invariance improves generalisation. Although this approach enjoys widespread popularity, it is only very recently…”
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U-Clip: On-Average Unbiased Stochastic Gradient Clipping by Elesedy, Bryn, Hutter, Marcus

“…U-Clip is a simple amendment to gradient clipping that can be applied to any iterative gradient optimization algorithm. Like regular clipping, U-Clip involves…”
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Provably Strict Generalisation Benefit for Equivariant Models by Elesedy, Bryn, Zaidi, Sheheryar

“…It is widely believed that engineering a model to be invariant/equivariant improves generalisation. Despite the growing popularity of this approach, a precise…”
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Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning by Elesedy, Bryn, Kanade, Varun, Teh, Yee Whye

“…We analyse the pruning procedure behind the lottery ticket hypothesis arXiv:1803.03635v5, iterative magnitude pruning (IMP), when applied to linear models…”
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