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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