Will Tebbutt
Title
Cited by
Cited by
Year
The Gaussian Process Autoregressive Regression Model (GPAR)
J Requeima, W Tebbutt, W Bruinsma, RE Turner
22nd International Conference on Artificial Intelligence and Statistics, 2019
62019
Sparse Gaussian Process Variational Autoencoders
M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner
arXiv preprint arXiv:2010.10177, 2020
12020
AdvancedHMC. jl: A robust, modular and e cient implementation of advanced HMC algorithms
K Xu, H Ge, W Tebbutt, M Tarek, M Trapp, Z Ghahramani
Symposium on Advances in Approximate Bayesian Inference, 1-10, 2020
2020
Scalable Exact Inference in Multi-Output Gaussian Processes
WP Bruinsma, E Perim, W Tebbutt, JS Hosking, A Solin, RE Turner
arXiv preprint arXiv:1911.06287, 2019
2019
Circular Pseudo-Point Approximations for Scaling Gaussian Processes
W Tebbutt, TD Bui, RE Turner
Advances in Approximate Bayesian Inference, NIPS 2016 Workshop, 2016
2016
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Articles 1–5