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All publications by Mark Dredze
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Factorial LDA: Sparse Multi-Dimensional Text Models
Michael Paul and Mark Dredze
Advances in Neural Information Processing Systems 25, 2012


Exploiting Feature Covariance in High-Dimensional Online Learning
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul and Fernando Pereira
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Adaptive Regularization of Weight Vectors
Koby Crammer, Alex Kulesza and Mark Dredze
Advances in Neural Information Processing Systems 22, 2009


Confidence-weighted linear classification
Mark Dredze, Koby Crammer and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze and Fernando Pereira
Advances in Neural Information Processing Systems 21, 2008