Transfer Learning by Distribution Matching for Targeted Advertising. - Steffen Bickel; Christoph Sawade; Tobias Scheffer (NIPS, 2008)

Active Risk Estimation. - Christoph Sawade; Niels Landwehr; Steffen Bickel; Tobias Scheffer (ICML, 2010)

Active Estimation of F-Measures. - Christoph Sawade; Niels Landwehr; Tobias Scheffer (NIPS, 2010)

Learning to Identify Regular Expressions that Describe Email Campaigns. - Paul Prasse; Christoph Sawade; Niels Landwehr; Tobias Scheffer (ICML, 2012)

Active Comparison of Prediction Models. - Christoph Sawade; Niels Landwehr; Tobias Scheffer (NIPS, 2012)

Bayesian Games for Adversarial Regression Problems. - Michael Großhans; Christoph Sawade; Michael Brückner; Tobias Scheffer (ICML (3), 2013)

Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). - Christoph Sawade; Steffen Bickel; Timo von Oertzen; Tobias Scheffer; Niels Landwehr (IJCAI, 2013)

Active evaluation of ranking functions based on graded relevance. - Christoph Sawade; Steffen Bickel; Timo von Oertzen; Tobias Scheffer; Niels Landwehr (Mach. Learn., 2013)

Active evaluation of predictive models. - Christoph Sawade (2013)

Joint Prediction of Topics in a URL Hierarchy. - Michael Großhans; Christoph Sawade; Tobias Scheffer; Niels Landwehr (ECML/PKDD (1), 2014)

Varying-coefficient models with isotropic Gaussian process priors. - Matthias Bussas; Christoph Sawade; Tobias Scheffer; Niels Landwehr (CoRR, 2015)

Learning to identify concise regular expressions that describe email campaigns. - Paul Prasse; Christoph Sawade; Niels Landwehr; Tobias Scheffer (J. Mach. Learn. Res., 2015)

Varying-coefficient models for geospatial transfer learning. - Matthias Bussas; Christoph Sawade; Nicolas Kühn; Tobias Scheffer; Niels Landwehr (Mach. Learn., 2017)