Reconstructing weighted voting schemes from partial information about their power indices

Huck Bennett, Anindya De, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis. Reconstructing weighted voting schemes from partial information about their power indices. In Mikhail Belkin, Samory Kpotufe, editors, Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA. Volume 134 of Proceedings of Machine Learning Research, pages 500-565, PMLR, 2021. [doi]

@inproceedings{BennettDSV21,
  title = {Reconstructing weighted voting schemes from partial information about their power indices},
  author = {Huck Bennett and Anindya De and Rocco A. Servedio and Emmanouil-Vasileios Vlatakis-Gkaragkounis},
  year = {2021},
  url = {http://proceedings.mlr.press/v134/bennett21a.html},
  researchr = {https://researchr.org/publication/BennettDSV21},
  cites = {0},
  citedby = {0},
  pages = {500-565},
  booktitle = {Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA},
  editor = {Mikhail Belkin and Samory Kpotufe},
  volume = {134},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}