Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning

Niclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski, Stanislaw Szufa. Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{BoehmerBEFS22,
  title = {Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning},
  author = {Niclas Boehmer and Robert Bredereck and Edith Elkind and Piotr Faliszewski and Stanislaw Szufa},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/cb1a0e1bd8b2f20f7500c7886e1fbc60-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/BoehmerBEFS22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}