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George Wynne
George Wynne
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Convergence guarantees for Gaussian process means with misspecified likelihoods and smoothness
G Wynne, FX Briol, M Girolami
Journal of Machine Learning Research 22 (123), 1-40, 2021
52*2021
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions
T Karvonen, G Wynne, F Tronarp, C Oates, S Särkkä
SIAM/ASA Journal on Uncertainty Quantification 8 (3), 926-958, 2020
412020
A Kernel Two-Sample Test for Functional Data
G Wynne, AB Duncan
Journal of Machine Learning Research 23 (73), 1-51, 2022
392022
Grassmann Stein variational gradient descent
X Liu, H Zhu, JF Ton, G Wynne, A Duncan
arXiv preprint arXiv:2202.03297, 2022
112022
Variational gaussian processes: A functional analysis view
G Wynne, V Wild
International Conference on Artificial Intelligence and Statistics, 4955-4971, 2022
9*2022
A spectral representation of kernel Stein discrepancy with application to goodness-of-fit tests for measures on infinite dimensional Hilbert spaces
G Wynne, M Kasprzak, AB Duncan
arXiv preprint arXiv:2206.04552, 2022
62022
Statistical depth meets machine learning: Kernel mean embeddings and depth in functional data analysis
G Wynne, S Nagy
arXiv preprint arXiv:2105.12778, 2021
62021
Bayes hilbert spaces for posterior approximation
G Wynne
arXiv preprint arXiv:2304.09053, 2023
12023
Contributions in functional data analysis and functional-analytic statistics
G Wynne
Imperial College London, 2023
2023
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Artigos 1–9