Foundations of Bayesian Learning from Synthetic Data

Harrison Wilde, Jack Jewson, Sebastian J. Vollmer, Chris Holmes. Foundations of Bayesian Learning from Synthetic Data. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 541-549, PMLR, 2021. [doi]

@inproceedings{WildeJVH21,
  title = {Foundations of Bayesian Learning from Synthetic Data},
  author = {Harrison Wilde and Jack Jewson and Sebastian J. Vollmer and Chris Holmes},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/wilde21a.html},
  researchr = {https://researchr.org/publication/WildeJVH21},
  cites = {0},
  citedby = {0},
  pages = {541-549},
  booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
  editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
  volume = {130},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}