Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation

Martin Azizyan, Aarti Singh, Larry A. Wasserman. Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation. In Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. pages 2139-2147, 2013. [doi]

@inproceedings{AzizyanSW13,
  title = {Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation},
  author = {Martin Azizyan and Aarti Singh and Larry A. Wasserman},
  year = {2013},
  url = {http://papers.nips.cc/paper/4983-minimax-theory-for-high-dimensional-gaussian-mixtures-with-sparse-mean-separation},
  researchr = {https://researchr.org/publication/AzizyanSW13},
  cites = {0},
  citedby = {0},
  pages = {2139-2147},
  booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States},
  editor = {Christopher J. C. Burges and Léon Bottou and Zoubin Ghahramani and Kilian Q. Weinberger},
}