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All publications by Michael Collins
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Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
Michael Collins and Shay B. Cohen
Advances in Neural Information Processing Systems 25, 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


Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller and Michael Collins
Advances in Neural Information Processing Systems 22, 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


Conditional Random Fields for Object Recognition
Ariadna Quattoni, Michael Collins and Trevor Darrell
Advances in Neural Information Processing Systems 17, 2004


Exponentiated Gradient Algorithms for Large-margin Structured Classification
Peter L. Bartlett, Michael Collins, Ben Taskar and David A. Mcallester
Advances in Neural Information Processing Systems 17, 2004


Convolution Kernels for Natural Language
Michael Collins and Nigel Duffy
Advances in Neural Information Processing Systems 14, 2001


A Generalization of Principal Components Analysis to the Exponential Family
Michael Collins, S. Dasgupta and Robert E. Schapire
Advances in Neural Information Processing Systems 14, 2001