The Gaussian Process Autoregressive Regression Model (GPAR)

James Requeima, William Tebbutt, Wessel Bruinsma, Richard E. Turner. The Gaussian Process Autoregressive Regression Model (GPAR). 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 1860-1869, PMLR, 2019. [doi]

@inproceedings{RequeimaTBT19,
  title = {The Gaussian Process Autoregressive Regression Model (GPAR)},
  author = {James Requeima and William Tebbutt and Wessel Bruinsma and Richard E. Turner},
  year = {2019},
  url = {http://proceedings.mlr.press/v89/requeima19a.html},
  researchr = {https://researchr.org/publication/RequeimaTBT19},
  cites = {0},
  citedby = {0},
  pages = {1860-1869},
  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},
}