Neil D. Lawrence
Title
Cited by
Cited by
Year
Probabilistic non-linear principal component analysis with Gaussian process latent variable models
N Lawrence
Journal of machine learning research 6 (Nov), 1783-1816, 2005
9562005
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
872*2007
Gaussian process latent variable models for visualisation of high dimensional data
ND Lawrence
Advances in neural information processing systems, 329-336, 2004
8492004
Dataset shift in machine learning
J Quionero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence
The MIT Press, 2009
6412009
Gaussian processes for big data
J Hensman, N Fusi, ND Lawrence
arXiv preprint arXiv:1309.6835, 2013
5952013
Wifi-slam using gaussian process latent variable models.
B Ferris, D Fox, ND Lawrence
IJCAI 7 (1), 2480-2485, 2007
5812007
Fast sparse Gaussian process methods: The informative vector machine
R Herbrich, ND Lawrence, M Seeger
Advances in neural information processing systems, 625-632, 2003
5642003
Deep gaussian processes
A Damianou, N Lawrence
Artificial Intelligence and Statistics, 207-215, 2013
5292013
Fast forward selection to speed up sparse Gaussian process regression
M Seeger, C Williams, N Lawrence
Artificial Intelligence and Statistics 9, 2003
4302003
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
arXiv preprint arXiv:1106.6251, 2011
4252011
Bayesian Gaussian process latent variable model
M Titsias, ND Lawrence
Proceedings of the Thirteenth International Conference on Artificial …, 2010
3292010
Learning to learn with the informative vector machine
ND Lawrence, JC Platt
Proceedings of the twenty-first international conference on Machine learning, 65, 2004
3042004
Learning for larger datasets with the Gaussian process latent variable model
ND Lawrence
Artificial Intelligence and Statistics, 243-250, 2007
2652007
Non-linear matrix factorization with Gaussian processes
ND Lawrence, R Urtasun
Proceedings of the 26th annual international conference on machine learning …, 2009
2472009
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
2352006
Computationally efficient convolved multiple output Gaussian processes
MA Álvarez, ND Lawrence
Journal of Machine Learning Research 12 (May), 1459-1500, 2011
2142011
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
2052009
Estimating a kernel fisher discriminant in the presence of label noise
ND Lawrence, B Schölkopf
ICML 1, 306-313, 2001
2002001
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, ND Lawrence
Advances in neural information processing systems, 57-64, 2009
1832009
Semi-supervised learning via Gaussian processes
ND Lawrence, MI Jordan
Advances in neural information processing systems, 753-760, 2005
1822005
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