Empirical Inference Conference Paper Multi-agent random walks for local clustering Alamgir, M., von Luxburg, U. In Proceedings of the IEEE International Conference on Data Mining (ICDM 2010), 18-27, (Editors: Webb, G. I., B. Liu, C. Zhang, D. Gunopulos, X. Wu), IEEE, Piscataway, NJ, USA, IEEE International Conference on Data Mining (ICDM 2010), December 2010 PDF Web DOI BibTeX

Empirical Inference Article Clustering stability: an overview von Luxburg, U. Foundations and Trends in Machine Learning, 2(3):235-274, July 2010 PDF DOI BibTeX

Empirical Inference Conference Paper Getting lost in space: Large sample analysis of the resistance distance von Luxburg, U., Radl, A., Hein, M. In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Advances in Neural Information Processing Systems 23, 2622-2630, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), 2010 PDF Web BibTeX

Empirical Inference Conference Paper Generalized Clustering via Kernel Embeddings Jegelka, S., Gretton, A., Schölkopf, B., Sriperumbudur, B., von Luxburg, U. In KI 2009: Advances in Artificial Intelligence, KI 2009: AI and Automation, Lecture Notes in Computer Science, Vol. 5803, 144-152, (Editors: B Mertsching and M Hund and Z Aziz), Springer, Berlin, Germany, 32nd Annual Conference on Artificial Intelligence (KI), September 2009 PDF PDF Web DOI BibTeX

Empirical Inference Article A Geometric Approach to Confidence Sets for Ratios: Fieller’s Theorem, Generalizations, and Bootstrap von Luxburg, U., Franz, V. Statistica Sinica, 19(3):1095-1117, July 2009 PDF PDF Web BibTeX

Empirical Inference Conference Paper Influence of graph construction on graph-based clustering measures Maier, M., von Luxburg, U., Hein, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, 1025-1032, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 PDF Web BibTeX

Empirical Inference Article Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Maier, M., Hein, M., von Luxburg, U. Theoretical Computer Science, 410(19):1749-1764, April 2009 PDF PDF DOI BibTeX

Empirical Inference Article Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Bubeck, S., von Luxburg, U. Journal of Machine Learning Research, 10:657-698, March 2009 PDF Web BibTeX

Empirical Inference Conference Paper Consistent Minimization of Clustering Objective Functions von Luxburg, U., Bubeck, S., Jegelka, S., Kaufmann, M. In Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, Advances in neural information processing systems 20, 961-968, (Editors: Platt, J. C., D. Koller, Y. Singer, S. Roweis), Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), September 2008 PDF Web BibTeX

Empirical Inference Conference Paper Relating clustering stability to properties of cluster boundaries Ben-David, S., von Luxburg, U. In Proceedings of the 21st Annual Conference on Learning Theory (COLT 2008), COLT 2008, 379-390, (Editors: Servedio, R. A., T. Zhang), Omnipress, Madison, WI, USA, 21st Annual Conference on Learning Theory, July 2008 PDF Web BibTeX