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All publications by Xavier Carreras
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Spectral Regularization for Max-Margin Sequence Tagging
Ariadna Quattoni, Borja Balle, Xavier Carreras and Amir Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras and Ariadna Quattoni
Advances in Neural Information Processing Systems 26, 2013


Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
Borja Balle, Ariadna Quattoni and Xavier Carreras
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An efficient projection for {\it l}$_{\mbox{1}}$,$_{\mbox{infinity}}$ regularization
Ariadna Quattoni, Xavier Carreras, Michael Collins and Trevor Darrell
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras and Peter L. Bartlett
Journal of Machine Learning Research, 2008


Exponentiated gradient algorithms for log-linear structured prediction
Amir Globerson, Terry Koo, Xavier Carreras and Michael Collins
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007