Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant. Least Squares Revisited: Scalable Approaches for Multi-class Prediction. In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014. Volume 32 of JMLR Proceedings, pages 541-549, JMLR.org, 2014. [doi]

@inproceedings{AgarwalKKSV14,
  title = {Least Squares Revisited: Scalable Approaches for Multi-class Prediction},
  author = {Alekh Agarwal and Sham M. Kakade and Nikos Karampatziakis and Le Song and Gregory Valiant},
  year = {2014},
  url = {http://jmlr.org/proceedings/papers/v32/agarwala14.html},
  researchr = {https://researchr.org/publication/AgarwalKKSV14},
  cites = {0},
  citedby = {0},
  pages = {541-549},
  booktitle = {Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014},
  volume = {32},
  series = {JMLR Proceedings},
  publisher = {JMLR.org},
}