Latent force models, AISTATS. JMLR Proceedings, pp.9-16, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-01864351
Multi-task gaussian process prediction, Advances in Neural Information Processing Systems, pp.153-160, 2008. ,
Dependent gaussian processes, Advances in Neural Information Processing Systems 17, pp.217-224, 2005. ,
Generalized product of experts for automatic and principled fusion of gaussian process predictions, p.7827, 1410. ,
Bagging for Gaussian process regression, Neurocomputing, vol.72, issue.7-9, pp.1605-1610, 2009. ,
DOI : 10.1016/j.neucom.2008.09.002
Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference, Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.437-445, 2016. ,
DOI : 10.5220/0005700504370445
URL : https://hal.archives-ouvertes.fr/hal-01840472
PHYSICS-BASED COVARIANCE MODELS FOR GAUSSIAN PROCESSES WITH MULTIPLE OUTPUTS, International Journal for Uncertainty Quantification, vol.3, issue.1, 2013. ,
DOI : 10.1615/Int.J.UncertaintyQuantification.2012003722
Distributed gaussian processes. arXiv preprint, 2015. ,
A few useful things to know about machine learning, Communications of the ACM, vol.55, issue.10, pp.78-87, 2012. ,
DOI : 10.1145/2347736.2347755
ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions, SIAM Journal on Scientific Computing, vol.37, issue.2, pp.1089-1110, 2015. ,
DOI : 10.1137/140989546
Infinite mixtures of gaussian process experts Advances in neural information processing systems 2, pp.881-888, 2002. ,
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning), 2005. ,
Derivative observations in gaussian process models of dynamic systems, Advances in Neural Information Processing Systems 15, pp.1057-1064, 2003. ,
Interpolation of Spatial Data: Some Theory for Kriging, 1999. ,
DOI : 10.1007/978-1-4612-1494-6
Variational learning of inducing variables in sparse gaussian processes, In: In Artificial Intelligence and Statistics, vol.12, pp.567-574, 2009. ,
Gpstuff: Bayesian modeling with gaussian processes, J. Mach. Learn. Res, vol.14, issue.1, pp.1175-1179, 2013. ,