Efficient Balanced Treatment Assignments for Experimentation

David Arbour, Drew Dimmery, Anup B. Rao. Efficient Balanced Treatment Assignments for Experimentation. 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 3070-3078, PMLR, 2021. [doi]

@inproceedings{ArbourDR21,
  title = {Efficient Balanced Treatment Assignments for Experimentation},
  author = {David Arbour and Drew Dimmery and Anup B. Rao},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/arbour21a.html},
  researchr = {https://researchr.org/publication/ArbourDR21},
  cites = {0},
  citedby = {0},
  pages = {3070-3078},
  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},
}