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All publications by Dan Roth
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Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Ching-pei Lee and Dan Roth
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Discriminative Latent Variable Model for Online Clustering
Rajhans Samdani, Kai-wei Chang and Dan Roth
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Decomposed Learning for Structured Prediction
Rajhans Samdani and Dan Roth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Structured Output Learning with Indirect Supervision
Ming-wei Chang, Vivek Srikumar, Dan Goldwasser and Dan Roth
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
Ivan Titov, Alexandre Klementiev, Kevin Small and Dan Roth
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Sequential Learning of Classifiers for Structured Prediction Problems
Dan Roth, Kevin Small and Ivan Titov
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Unsupervised rank aggregation with distance-based models
Alexandre Klementiev, Dan Roth and Kevin Small
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Integer linear programming inference for conditional random fields
Dan Roth and Wen-tau Yih
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Generalization Bounds for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-peled and Dan Roth
Journal of Machine Learning Research, 2005


A Large Deviation Bound for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich and Dan Roth
Advances in Neural Information Processing Systems 17, 2004


Margin Distribution and Learning
Ashutosh Garg and Dan Roth
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


On Kernel Methods for Relational Learning
Chad M. Cumby and Dan Roth
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Constraint Classification for Multiclass Classification and Ranking
Sariel Har-peled, Dan Roth and Dav Zimak
Advances in Neural Information Processing Systems 15, 2002


Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
Roni Khardon, Dan Roth and Rocco A. Servedio
Advances in Neural Information Processing Systems 14, 2001