Optimal Sampling and Clustering in the Stochastic Block Model

Se-Young Yun, Alexandre Proutière. Optimal Sampling and Clustering in the Stochastic Block Model. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 13422-13430, 2019. [doi]

@inproceedings{YunP19,
  title = {Optimal Sampling and Clustering in the Stochastic Block Model},
  author = {Se-Young Yun and Alexandre Proutière},
  year = {2019},
  url = {http://papers.nips.cc/paper/9498-optimal-sampling-and-clustering-in-the-stochastic-block-model},
  researchr = {https://researchr.org/publication/YunP19},
  cites = {0},
  citedby = {0},
  pages = {13422-13430},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}