Neil D. Lawrence
Neil D. Lawrence
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Probabilistic non-linear principal component analysis with Gaussian process latent variable models
N Lawrence
Journal of machine learning research 6 (Nov), 1783-1816, 2005
Gaussian process dynamical models for human motion
JM Wang, DJ Fleet, A Hertzmann
IEEE transactions on pattern analysis and machine intelligence 30 (2), 283-298, 2007
Gaussian process latent variable models for visualisation of high dimensional data
N Lawrence
Advances in neural information processing systems 16, 329-336, 2003
Dataset shift in machine learning
J Quionero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence
The MIT Press, 2009
Gaussian processes for big data
J Hensman, N Fusi, ND Lawrence
arXiv preprint arXiv:1309.6835, 2013
Deep gaussian processes
A Damianou, ND Lawrence
Artificial intelligence and statistics, 207-215, 2013
Wifi-slam using gaussian process latent variable models.
B Ferris, D Fox, ND Lawrence
IJCAI 7 (1), 2480-2485, 2007
Fast sparse Gaussian process methods: The informative vector machine
R Herbrich, N Lawrence, M Seeger
Advances in neural information processing systems 15, 625-632, 2002
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
arXiv preprint arXiv:1106.6251, 2011
Fast forward selection to speed up sparse Gaussian process regression
M Seeger, C Williams, N Lawrence
Artificial Intelligence and Statistics 9, 2003
Bayesian Gaussian process latent variable model
M Titsias, ND Lawrence
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Learning to learn with the informative vector machine
ND Lawrence, JC Platt
Proceedings of the twenty-first international conference on Machine learning, 65, 2004
Non-linear matrix factorization with Gaussian processes
ND Lawrence, R Urtasun
Proceedings of the 26th annual international conference on machine learning …, 2009
Local distance preservation in the GP-LVM through back constraints
ND Lawrence, J Quiñonero-Candela
Proceedings of the 23rd international conference on Machine learning, 513-520, 2006
Computationally efficient convolved multiple output Gaussian processes
MA Álvarez, ND Lawrence
The Journal of Machine Learning Research 12, 1459-1500, 2011
Estimating a kernel fisher discriminant in the presence of label noise
N Lawrence, B Schölkopf
18th International Conference on Machine Learning (ICML 2001), 306-306, 2001
A critical role for phosphatase haplodeficiency in the selective suppression of deletion 5q MDS by lenalidomide
S Wei, X Chen, K Rocha, PK Epling-Burnette, JY Djeu, Q Liu, J Byrd, ...
Proceedings of the National Academy of Sciences 106 (31), 12974-12979, 2009
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
Advances in neural information processing systems 21, 57-64, 2008
Hierarchical Gaussian process latent variable models
ND Lawrence, AJ Moore
Proceedings of the 24th international conference on Machine learning, 481-488, 2007
Semi-supervised learning via Gaussian processes
N Lawrence, M Jordan
Advances in neural information processing systems 17, 753-760, 2004
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