Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity

Santosh Vempala, Ying Xiao. Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity. In Peter Grünwald, Elad Hazan, Satyen Kale, editors, Proceedings of The 28th Conference on Learning Theory, COLT 2015, Paris, France, July 3-6, 2015. Volume 40 of JMLR Proceedings, pages 1710-1723, JMLR.org, 2015. [doi]

@inproceedings{VempalaX15,
  title = {Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity},
  author = {Santosh Vempala and Ying Xiao},
  year = {2015},
  url = {http://jmlr.org/proceedings/papers/v40/Vempala15.html},
  researchr = {https://researchr.org/publication/VempalaX15},
  cites = {0},
  citedby = {0},
  pages = {1710-1723},
  booktitle = {Proceedings of The 28th Conference on Learning Theory, COLT 2015, Paris, France, July 3-6, 2015},
  editor = {Peter Grünwald and Elad Hazan and Satyen Kale},
  volume = {40},
  series = {JMLR Proceedings},
  publisher = {JMLR.org},
}