Andrew Gordon Wilson
TitleCited byYear
Gaussian process kernels for pattern discovery and extrapolation
AG Wilson, RP Adams
Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013
2812013
Deep kernel learning
AG Wilson, Z Hu, R Salakhutdinov, EP Xing
Artificial Intelligence and Statistics (AISTATS), 2016
1672016
Kernel interpolation for scalable structured Gaussian processes (KISS-GP)
AG Wilson, H Nickisch
Proceedings of the 32nd International Conference on Machine Learning (ICML …, 2015
1402015
Fast kernel learning for multidimensional pattern extrapolation
AG Wilson, E Gilboa, JP Cunningham, A Nehorai
Advances in Neural Information Processing Systems (NIPS), 3626-3634, 2014
107*2014
A la carte-learning fast kernels
Z Yang, AJ Smola, L Song, AG Wilson
Artificial Intelligence and Statistics (AISTATS), 2015
922015
Gaussian process regression networks
AG Wilson, DA Knowles, Z Ghahramani
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
862012
Student-t processes as alternatives to Gaussian processes
A Shah, AG Wilson, Z Ghahramani
Artificial Intelligence and Statistics, 877-885, 2014
832014
Covariance kernels for fast automatic pattern discovery and extrapolation with Gaussian processes
AG Wilson
University of Cambridge, 2014
782014
Copula processes
AG Wilson, Z Ghahramani
Advances in Neural Information Processing Systems (NIPS), 2460-2468, 2010
672010
Generalised Wishart processes
AG Wilson, Z Ghahramani
Uncertainty in Artificial Intelligence (UAI), 2011
632011
Fast Kronecker inference in Gaussian processes with non-Gaussian likelihoods
S Flaxman, AG Wilson, DB Neill, H Nickisch, AJ Smola
International Conference on Machine Learning, 2015
562015
Stochastic variational deep kernel learning
AG Wilson, Z Hu, RR Salakhutdinov, EP Xing
Advances in Neural Information Processing Systems (NIPS) 29, 2586-2594, 2016
552016
Averaging weights leads to wider optima and better generalization
P Izmailov, D Podoprikhin, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2018
522018
Bayesian GAN
Y Saatchi, AG Wilson
Advances in Neural Information Processing Systems (NIPS) 30, 2017
522017
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, PI Frazier
Advances in Neural Information Processing Systems (NIPS) 30, 2017
482017
Thoughts on massively scalable Gaussian processes
AG Wilson, C Dann, H Nickisch
arXiv preprint arXiv:1511.01870, 2015
432015
Are needle-free injections a useful alternative for growth hormone therapy in children? Safety and pharmacokinetics of growth hormone delivered by a new needle-free injection …
HG Dörr, S Zabransky, E Keller, BJ Otten, CJ Partsch, L Nyman, ...
Journal of Pediatric Endocrinology and Metabolism 16 (3), 383-392, 2003
402003
Multimodal word distributions
B Athiwaratkun, AG Wilson
Conference of the Association for Computational Linguistics (ACL), 2017
342017
Bayesian Nonparametric Kernel-Learning
J Oliva, A Dubey, AG Wilson, B Poczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 2016
342016
Learning scalable deep kernels with recurrent structure
M Al-Shedivat, AG Wilson, Y Saatchi, Z Hu, EP Xing
Journal of Machine Learning Research (JMLR), 2016
332016
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