Ulrike von Luxburg

Statistical Learning Theory Professor, University of Tübingen Max Planck Fellow Alumni

Empirical Inference Article How the result of graph clustering methods depends on the construction of the graph Maier, M., von Luxburg, U., Hein, M. ESAIM: Probability & Statistics, 17:370-418, January 2013 (Published) PDF DOI BibTeX

Empirical Inference Conference Paper Density estimation from unweighted k-nearest neighbor graphs: a roadmap von Luxburg, U., Alamgir, M. In Advances in Neural Information Processing Systems 26, :225-233, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 () PDF BibTeX

Empirical Inference Article How the initialization affects the stability of the k-means algorithm Bubeck, S., Meila, M., von Luxburg, U. ESAIM: Probability and Statistics, 16:436-452, January 2012 () Web DOI BibTeX

Empirical Inference Conference Paper Clustering: Science or Art? von Luxburg, U., Williamson, R., Guyon, I. In JMLR Workshop and Conference Proceedings, Volume 27, :65-79, Workshop on Unsupervised Learning and Transfer Learning, 2012 () PDF BibTeX

Empirical Inference Conference Paper Shortest path distance in random k-nearest neighbor graphs Alamgir, M., von Luxburg, U. In Proceedings of the 29th International Conference on Machine Learning, International Machine Learning Society, International Conference on Machine Learning (ICML 2012), 2012 () PDF Web BibTeX

Empirical Inference Conference Paper Pruning nearest neighbor cluster trees Kpotufe, S., von Luxburg, U. In :225-232, (Editors: Getoor, L. , T. Scheffer), International Machine Learning Society, Madison, WI, USA, 28th International Conference on Machine Learning (ICML 2011), July 2011 () PDF Web BibTeX

Empirical Inference Conference Paper Risk-Based Generalizations of f-divergences García-García, D., von Luxburg, U., Santos-Rodríguez, R. In :417-424, (Editors: Getoor, L. , T. Scheffer), International Machine Learning Society, Madison, WI, USA, 28th International Conference on Machine Learning (ICML 2011), July 2011 () PDF Web BibTeX

Empirical Inference Proceedings JMLR Workshop and Conference Proceedings Volume 19: COLT 2011 Kakade, S., von Luxburg, U. :834, MIT Press, Cambridge, MA, USA, 24th Annual Conference on Learning Theory , June 2011 () Web BibTeX

Empirical Inference Book Chapter Statistical Learning Theory: Models, Concepts, and Results von Luxburg, U., Schölkopf, B. In Handbook of the History of Logic, Vol. 10: Inductive Logic, 10:651-706, (Editors: Gabbay, D. M., Hartmann, S. and Woods, J. H.), Elsevier North Holland, Amsterdam, Netherlands, May 2011 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Phase transition in the family of p-resistances Alamgir, M., von Luxburg, U. In Advances in Neural Information Processing Systems 24, :379-387, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011 () PDF Web BibTeX