Convex Relaxation of Mixture Regression with Efficient Algorithms

Novi Quadrianto, Tibério S. Caetano, John Lim, Dale Schuurmans. Convex Relaxation of Mixture Regression with Efficient Algorithms. In Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta, editors, Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. pages 1491-1499, Curran Associates, Inc., 2009. [doi]

@inproceedings{QuadriantoCLS09,
  title = {Convex Relaxation of Mixture Regression with Efficient Algorithms},
  author = {Novi Quadrianto and Tibério S. Caetano and John Lim and Dale Schuurmans},
  year = {2009},
  url = {http://books.nips.cc/papers/files/nips22/NIPS2009_0832.pdf},
  researchr = {https://researchr.org/publication/QuadriantoCLS09},
  cites = {0},
  citedby = {0},
  pages = {1491-1499},
  booktitle = {Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada},
  editor = {Yoshua Bengio and Dale Schuurmans and John D. Lafferty and Christopher K. I. Williams and Aron Culotta},
  publisher = {Curran Associates, Inc.},
  isbn = {9781615679119},
}