Nonparametric exponential family graph embeddings for multiple representation learning

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa. Nonparametric exponential family graph embeddings for multiple representation learning. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 1275-1285, PMLR, 2022. [doi]

@inproceedings{LuPNN22,
  title = {Nonparametric exponential family graph embeddings for multiple representation learning},
  author = {Chien Lu and Jaakko Peltonen and Timo Nummenmaa and Jyrki Nummenmaa},
  year = {2022},
  url = {https://proceedings.mlr.press/v180/lu22a.html},
  researchr = {https://researchr.org/publication/LuPNN22},
  cites = {0},
  citedby = {0},
  pages = {1275-1285},
  booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
  editor = {James Cussens and Kun Zhang 0001},
  volume = {180},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}