It is all in the noise: Efficient multi-task Gaussian process inference with 
structured residuals

Rakitsch, Barbara; Lippert, Christoph; Borgwardt, Karsten; Stegle, Oliver

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It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals

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Rakitsch, Barbara
Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Borgwardt, Karsten
Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Rakitsch, B., Lippert, C., Borgwardt, K., & Stegle, O. (2014). It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals. In C. J. Burges, L. Bottou, M. Welling, Z. Ghahramani, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 26 (pp. 1468-1476). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2013/hash/59c33016884a62116be975a9bb8257e3-Abstract.html.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-3A26-A

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