Publications

• Shankar Vembu, Thomas Gärtner. Label Ranking Algorithms: A Survey. In Johannes Fürnkranz, Eyke Hüllermeier, editor(s), Preference Learning, Springer-Verlag, 2010. (to appear). [ draft | BibTeX ]
• Thomas Gärtner, Shankar Vembu. On Structured Output Training: Hard Cases and an Efficient Alternative. Machine Learning Journal (Special Issue of ECML PKDD), 76(2):227–242, 2009. [ preprint | BibTeX ]
• Shankar Vembu. Learning to Predict Combinatorial Structures. PhD thesis, Department of Computer Science, University of Bonn, 2009. (submitted). [ link | BibTeX ]
• Shankar Vembu, Thomas Gärtner, Mario Boley. Probabilistic Structured Predictors. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI), 2009. [ pdf | BibTeX ]
• Shankar Vembu, Thomas Gärtner. Training Non-linear Structured Prediction Models with Stochastic Gradient Descent. 6th International Workshop on Mining and Learning with Graphs, 2008. [ draft | BibTeX ]
• Thomas Gärtner, Shankar Vembu. Leveraging Matrix Computations for Efficient Learning on Graphs. KDD Workshop on Data Mining using Matrices and Tensors, 2008. [ draft | BibTeX ]
• Thomas Gärtner, Shankar Vembu. Learning to Predict Combinatorial Structures. NIPS Workshop on Structured Inputs and Structured outputs, 2008. [ video | draft | BibTeX ]
• Shankar Vembu, Thomas Gärtner, Stefan Wrobel. Semidefinite Ranking on Graphs. Proceedings of the 5th International Workshop on Mining and Learning with Graphs, 2007. [ draft | BibTeX ]