High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity

Po-Ling Loh, Martin J. Wainwright. High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity. In John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain. pages 2726-2734, 2011. [doi]

@inproceedings{LohW11,
  title = {High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity},
  author = {Po-Ling Loh and Martin J. Wainwright},
  year = {2011},
  url = {http://books.nips.cc/papers/files/nips24/NIPS2011_1482.pdf},
  researchr = {https://researchr.org/publication/LohW11},
  cites = {0},
  citedby = {0},
  pages = {2726-2734},
  booktitle = {Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain},
  editor = {John Shawe-Taylor and Richard S. Zemel and Peter L. Bartlett and Fernando C. N. Pereira and Kilian Q. Weinberger},
}