Search Machine Learning Repository: @inproceedings{icml2014c2_quattoni14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {Spectral Regularization for Max-Margin Sequence Tagging},
    Url = {http://jmlr.org/proceedings/papers/v32/quattoni14.pdf},
    Abstract = {We frame max-margin learning of latent variable structured prediction models as a convex optimization problem, making use of scoring functions computed by input-output observable operator models. This learning problem can be expressed as an optimization involving a low-rank Hankel matrix that represents the input-output operator model. The direct outcome of our work is a new spectral regularization method for max-margin structured prediction. Our experiments confirm that our proposed regularization framework leads to an effective way of controlling the capacity of structured prediction models.},
    Author = {Ariadna Quattoni and Borja Balle and Xavier Carreras and Amir Globerson},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {1710-1718}
   }