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James T. Wilson
James T. Wilson
Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Compressing neural networks with the hashing trick
W Chen, J Wilson, S Tyree, K Weinberger, Y Chen
International conference on machine learning, 2285-2294, 2015
14412015
Maximizing acquisition functions for Bayesian optimization
J Wilson, F Hutter, M Deisenroth
Advances in neural information processing systems 31, 2018
2882018
Efficiently sampling functions from Gaussian process posteriors
J Wilson, V Borovitskiy, A Terenin, P Mostowsky, M Deisenroth
International Conference on Machine Learning, 10292-10302, 2020
1622020
Compressing convolutional neural networks in the frequency domain
W Chen, J Wilson, S Tyree, KQ Weinberger, Y Chen
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
1412016
The reparameterization trick for acquisition functions
JT Wilson, R Moriconi, F Hutter, MP Deisenroth
arXiv preprint arXiv:1712.00424, 2017
812017
Pathwise conditioning of Gaussian processes
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
Journal of Machine Learning Research 22 (105), 1-47, 2021
532021
A Unifying Variational Framework for Gaussian Process Motion Planning
LC Cosier, R Iordan, SNT Zwane, G Franzese, JT Wilson, M Deisenroth, ...
International Conference on Artificial Intelligence and Statistics, 1315-1323, 2024
12024
Stopping Bayesian Optimization with Probabilistic Regret Bounds
JT Wilson
arXiv preprint arXiv:2402.16811, 2024
12024
Decision-making with Gaussian processes: sampling strategies and Monte Carlo methods
J Wilson
Imperial College London, 2023
2023
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Articles 1–9