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Challenges and Pitfalls of Bayesian Unlearning


Jul 07, 2022
Ambrish Rawat, James Requeima, Wessel Bruinsma, Richard Turner

* 5 pages, 3 figures, Updatable ML (UpML) Workshop, International Conference on Machine Learning (ICML) 2022 

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Efficient Gaussian Neural Processes for Regression


Aug 24, 2021
Stratis Markou, James Requeima, Wessel Bruinsma, Richard Turner

* 6 pages 

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GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models


Dec 17, 2019
Pavel Berkovich, Eric Perim, Wessel Bruinsma


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Learning Causally-Generated Stationary Time Series


Feb 22, 2018
Wessel Bruinsma, Richard E. Turner

* 13 pages, 7 figures, 2 tables, includes appendices 

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The Gaussian Process Autoregressive Regression Model (GPAR)


Feb 21, 2018
James Requeima, Will Tebbutt, Wessel Bruinsma, Richard E. Turner

* 14 pages, 11 figures, 4 tables, includes appendices; added missing paragraph and figure 

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