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All publications by Tobias Scheffer
authors venues years



Bayesian Games for Adversarial Regression Problems
Michael Grohans, Christoph Sawade, Michael Brckner and Tobias Scheffer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr and Tobias Scheffer
Advances in Neural Information Processing Systems 25, 2012


Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Finding Botnets Using Minimal Graph Clusterings
Peter Haider and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Active Risk Estimation
Christoph Sawade, Niels Landwehr, Steffen Bickel and Tobias Scheffer
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Throttling Poisson Processes
Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner and Tobias Scheffer
Advances in Neural Information Processing Systems 23, 2010


Active Estimation of F-Measures
Christoph Sawade, Niels Landwehr and Tobias Scheffer
Advances in Neural Information Processing Systems 23, 2010


Discriminative Learning Under Covariate Shift
Steffen Bickel, Michael Brückner and Tobias Scheffer
Journal of Machine Learning Research, 2009


Bayesian clustering for email campaign detection
Peter Haider and Tobias Scheffer
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller and Tobias Scheffer
Advances in Neural Information Processing Systems 22, 2009


Nash Equilibria of Static Prediction Games
Michael Brückner and Tobias Scheffer
Advances in Neural Information Processing Systems 22, 2009


Learning from incomplete data with infinite imputations
Uwe Dick, Peter Haider and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-task learning for HIV therapy screening
Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Transfer Learning by Distribution Matching for Targeted Advertising
Steffen Bickel, Christoph Sawade and Tobias Scheffer
Advances in Neural Information Processing Systems 21, 2008


Transductive support vector machines for structured variables
Alexander Zien, Ulf Brefeld and Tobias Scheffer
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Supervised clustering of streaming data for email batch detection
Peter Haider, Ulf Brefeld and Tobias Scheffer
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Unsupervised prediction of citation influences
Laura Dietz, Steffen Bickel and Tobias Scheffer
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Discriminative learning for differing training and test distributions
Steffen Bickel, Michael Brückner and Tobias Scheffer
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Semi-supervised learning for structured output variables
Ulf Brefeld and Tobias Scheffer
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient co-regularised least squares regression
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer and Stefan Wrobel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel and Tobias Scheffer
Advances in Neural Information Processing Systems 19, 2006


Co-EM support vector learning
Ulf Brefeld and Tobias Scheffer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
Tobias Scheffer and Stefan Wrobel
Journal of Machine Learning Research, 2002