Archive | News

Epidemic modelling paper published in JRSS(B)

Current and former Statistics Institute members Michael Whitehouse, Nick Whiteley and Lorenzo Rimella have had a paper related to epidemic modelling accepted in the Journal of the Royal Statistical Society Series B. The paper introduces Poisson Approximate Likelihood (PAL) methods for fitting stochastic compartmental models. Compartmental modelling is one of the most widespread methods for […]

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PhD student Mingxuan Yi & Compass CDT student, Daniel Williams’ papers accepted into ICML 2023

Congratulations to Mingxuan Yi and Daniel Williams, who will have their papers published at ICML 2023. Mingxuan’s paper introduces a fresh perspective on generative models, which are used in popular machine learning applications like ChatGPT and Stable Diffusion. Generative Adversarial Net (GAN) is a commonly used technique for training generative models, and has traditionally been viewed […]

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Yuri Netrusov, 1961-2023

Yuri Netrusov, Senior Lecturer and member of the School of Mathematics for nearly 20 years until his retirement in 2019, passed away in March. Misha Rudnev has written an appreciation of Yuri’s deep mathematical work along with a tribute to a friend and former colleague. On the morning of March 26, Yuri Netrusov was found dead […]

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Postgraduate Compass students Hannah Sansford, Alex Modell and Josh Givens’s academic papers to be published at AISTATS 2023

Congratulations to Compass students Hannah Sansford and Alex Modell who, along with their supervisors Patrick Rubin-Delanchy and Nick Whiteley, have had their paper ‘Implications of sparsity and high triangle density for graph representation learning’ accepted to be published at AISTATS 2023, as well as being selected for oral presentation at the conference in Valencia (<2% of submissions). Congratulations also […]

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Grant awarded to Professor Rubin-Delanchy for involvement in breakthrough research programme

A new research programme involving six UK universities, including Bristol, will help tackle cybercrime and increase resilience and carbon reduction in the electricity sector. A new research programme involving six UK universities, including Bristol, will help tackle cybercrime and increase resilience and carbon reduction in the electricity sector. The Network Stochastic Processes and Time Series […]

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Professor Oliver Johnson publishes new book, Numbercrunch

Professor Oliver Johnson’s new book, Numbercrunch, to be published on 2nd March 2023. The book will be published with Heligo Books, the business and smart-thinking imprint from Bonnier Books UK. Numbercrunch is aimed at a general audience, and will be published as hardback, eBook and audiobook on 2 March. Numbercrunch equips readers with the mathematical tools and thinking to […]

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Paper accepted into the Annals of Statistics

Professors Christophe Andrieu, Anthony Lee and Drs. Sam Power and Andi Q. Wang have had a recent paper accepted into the Annals of Statistics. Their paper, titled ‘Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC’, studies subgeometric convergence rates of Markov chains. These results are particularly applicable to a class […]

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Song Liu and Mingxuan Yi Publishing Machine Learning Papers

Dr. Song Liu and Mingxuan Yi are publishing papers at top international machine learning conferences. The first paper is entitled  “Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC” and the second is “Sliced Wasserstein Variational Inference”. Huge congratulations to Song on this achievement. Details of both papers are below: Title: […]

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Congratulations to Compass student published in NeurIPS 2022

Congratulations to Dan Ward, Matteo Fasiolo, Mark Beaumont and their industrial collaborators from Improbable. Compass PhD student, Dan Ward, who along with his supervisors has had their paper Robust Neural Posterior Estimation and Statistical Model Criticism accepted for publication in NeurIPS 2022. Simulators are idealistic approximations of reality, meaning that there is often a disparity […]

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