references.bib

@InProceedings{titsiasvfe,
  title = 	 {Variational Learning of Inducing Variables in Sparse Gaussian Processes},
  author = 	 {Michalis Titsias},
  booktitle = 	 {Proceedings of the Twelth International Conference on Artificial Intelligence and Statistics},
  year = 	 {2009},
  series = 	 {Proceedings of Machine Learning Research},
  publisher = 	 {PMLR}
}


@article{bytunigp,
  added-at = {2019-07-10T00:00:00.000+0200},
  author = {Bui, Thang D. and Yan, Josiah and Turner, Richard E.},
  biburl = {https://www.bibsonomy.org/bibtex/2c7efde19ef395a727e7fed0e91a2b83d/dblp},
  ee = {http://jmlr.org/papers/v18/16-603.html},
  interhash = {d2ae4cc52b043c86d7da83b5e990f1cb},
  intrahash = {c7efde19ef395a727e7fed0e91a2b83d},
  journal = {J. Mach. Learn. Res.},
  keywords = {dblp},
  pages = {104:1-104:72},
  timestamp = {2019-07-11T11:42:09.000+0200},
  title = {A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation.},
  url = {http://dblp.uni-trier.de/db/journals/jmlr/jmlr18.html#BuiYT17},
  volume = 18,
  year = 2017
}


@article{canrasuni,
  title = {A Unifying View of Sparse Approximate Gaussian Process Regression},
  author = {Quinonero Candela, J. and Rasmussen, CE.},
  journal = {Journal of Machine Learning Research},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  year = {2005}
}

@book{cprogkr,
	author = {Kernighan, Brian W. and Ritchie, Dennis M.},
	title = {The  C Programming Language},
	year = {1988},
	isbn = {0131103709},
	publisher = {Prentice Hall Professional Technical Reference},
	edition = {2nd}
}

@book{grimmettprob,
	title={Probability: An Introduction},
	author={Grimmett, G. and Welsh, D.J.A. and Welsh, D.},
	series={Oxford University Press},
	year={1986},
	publisher={Clarendon Press}
}