Jonathan H. Huggins, Trevor Campbell, Mikolaj Kasprzak, Tamara Broderick. Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees. In Kamalika Chaudhuri, Masashi Sugiyama, editors, The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan. Volume 89 of Proceedings of Machine Learning Research, pages 796-805, PMLR, 2019. [doi]
@inproceedings{HugginsCKB19, title = {Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees}, author = {Jonathan H. Huggins and Trevor Campbell and Mikolaj Kasprzak and Tamara Broderick}, year = {2019}, url = {http://proceedings.mlr.press/v89/huggins19a.html}, researchr = {https://researchr.org/publication/HugginsCKB19}, cites = {0}, citedby = {0}, pages = {796-805}, booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan}, editor = {Kamalika Chaudhuri and Masashi Sugiyama}, volume = {89}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }