Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes

Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence. Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 5137-5145, 2017. [doi]

@inproceedings{DaiAL17,
  title = {Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes},
  author = {Zhenwen Dai and Mauricio A. Álvarez and Neil D. Lawrence},
  year = {2017},
  url = {http://papers.nips.cc/paper/7098-efficient-modeling-of-latent-information-in-supervised-learning-using-gaussian-processes},
  researchr = {https://researchr.org/publication/DaiAL17},
  cites = {0},
  citedby = {0},
  pages = {5137-5145},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}