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Dr. Ulrike von Luxburg

Address: Spemannstr. 38
72076 Tübingen
Room number: 206
Phone: +49 40 42883 2392
E-Mail: ulrike.luxburg
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Ulrike von Luxburg

Position: Senior Research Scientist  Unit: Alumni Schölkopf




I moved to the University of Hamburg Here is my new homepage.







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Proceedings (2):

Kakade SM and von Luxburg U Person: JMLR Workshop and Conference Proceedings Volume 19: COLT 2011, 24th Annual Conference on Learning Theory, 834, MIT Press, Cambridge, MA, USA, (2011).

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Bousquet O Person, von Luxburg U Person and Rätsch G Person: Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (2004).

978-3-540-23122-6

Articles (11):

Maier M Person, von Luxburg U Person and Hein M (2012) How the result of graph clustering methods depends on the construction of the graph ESAIM: Probability & Statistics . in press
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Bubeck S Person, Meila M and von Luxburg U Person (2012) How the initialization affects the stability of the k-means algorithm ESAIM: Probability and Statistics 16 436-452.
von Luxburg U Person (2010) Clustering stability: an overview Foundations and Trends in Machine Learning 2(3) 235-274.
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von Luxburg U Person and Franz VH Person (2009) A Geometric Approach to Confidence Sets for Ratios: Fieller‘s Theorem, Generalizations, and Bootstrap Statistica Sinica 19(3) 1095-1117.
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Maier M Person, Hein M and von Luxburg U Person (2009) Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Theoretical Computer Science 410(19) 1749-1764.
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Bubeck S Person and von Luxburg U Person (2009) Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Journal of Machine Learning Research 10 657-698.
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von Luxburg U Person, Belkin M and Bousquet O Person (2008) Consistency of Spectral Clustering Annals of Statistics 36(2) 555-586.
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von Luxburg U Person (2007) A Tutorial on Spectral Clustering Statistics and Computing 17(4) 395-416.
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Hein M Person, Audibert J-Y and von Luxburg U Person (2007) Graph Laplacians and their Convergence on Random Neighborhood Graphs Journal of Machine Learning Research 8 1325-1370.
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von Luxburg U Person and Bousquet O Person (2004) Distance-Based Classification with Lipschitz Functions Journal of Machine Learning Research 5 669-695.
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von Luxburg U Person, Bousquet O Person and Schölkopf B Person (2004) A Compression Approach to Support Vector Model Selection The Journal of Machine Learning Research 5 293-323.

Conference papers (17):

von Luxburg U Person, Williamson R and Guyon I (2012) Clustering: Science or Art? In: JMLR Workshop and Conference Proceedings, Volume 27, Workshop on Unsupervised Learning and Transfer Learning, 65-79.
Alamgir M Person and von Luxburg U Person (2012) Shortest path distance in random k-nearest neighbor graphs In: Proceedings of the 29th International Conference on Machine Learning, International Conference on Machine Learning (ICML 2012), International Machine Learning Society.
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Kpotufe S Person and von Luxburg U Person (2011) Pruning nearest neighbor cluster trees (Ed) Getoor, L. , T. Scheffer, 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 225-232.
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García-García D , von Luxburg U Person and Santos-Rodríguez R (2011) Risk-Based Generalizations of f-divergences (Ed) Getoor, L. , T. Scheffer, 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 417-424.
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Alamgir M Person and von Luxburg U Person (2011) Phase transition in the family of p-resistances In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 379-387.
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Alamgir M Person and von Luxburg U Person (2010) Multi-agent random walks for local clustering (Ed) Webb, G. I., B. Liu, C. Zhang, D. Gunopulos, X. Wu, IEEE International Conference on Data Mining (ICDM 2010), IEEE, Piscataway, NJ, USA, 18-27.
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von Luxburg U Person, Radl A Person and Hein M Person (2010) Getting lost in space: Large sample analysis of the resistance distance In: Advances in Neural Information Processing Systems 23, (Ed) Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 2622-2630.
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Jegelka S Person, Gretton A Person, Schölkopf B Person, Sriperumbudur BK Person and von Luxburg U Person (2009) Generalized Clustering via Kernel Embeddings In: KI 2009: AI and Automation, Lecture Notes in Computer Science, Vol. 5803, (Ed) B Mertsching, M Hund and Z Aziz, 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
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Maier M Person, von Luxburg U Person and Hein M Person (2009) Influence of graph construction on graph-based clustering measures In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1025-1032.
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von Luxburg U Person, Bubeck S Person, Jegelka S Person and Kaufmann M (2008) Consistent Minimization of Clustering Objective Functions In: Advances in neural information processing systems 20, (Ed) Platt, J. C., D. Koller, Y. Singer, S. Roweis, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 961-968.
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Ben-David S and von Luxburg U Person (2008) Relating clustering stability to properties of cluster boundaries In: COLT 2008, (Ed) Servedio, R. A., T. Zhang, 21st Annual Conference on Learning Theory, Omnipress, Madison, WI, USA, 379-390.
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Maier M Person, Hein M and von Luxburg U Person (2007) Cluster Identification in Nearest-Neighbor Graphs In: ALT 2007, (Ed) Hutter, M. , R. A. Servedio, E. Takimoto, 18th International Conference on Algorithmic Learning Theory, Springer, Berlin, Germany, 196-210.
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Ben-David S , von Luxburg U Person and Pal D (2006) A Sober Look at Clustering Stability In: COLT 2006, (Ed) Lugosi, G. , H.-U. Simon, 19th Annual Conference on Learning Theory, Springer, Berlin, Germany, 5-19.
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von Luxburg U Person, Bousquet O Person and Belkin M (2005) Limits of Spectral Clustering In: Advances in Neural Information Processing Systems 17, (Ed) Saul, L. K., Y. Weiss, L. Bottou, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 857-864.
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Hein M Person, Audibert J and von Luxburg U Person (2005) From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians Conference on Learning Theory, 470-485.
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von Luxburg U Person, Bousquet O Person and Belkin M (2004) On the Convergence of Spectral Clustering on Random Samples: The Normalized Case Proceedings of the 17th Annual Conference on Learning Theory, 457-471.
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von Luxburg U Person and Bousquet O Person (2003) Distance-based classification with Lipschitz functions (Ed) B. Schölkopf and M.K. Warmuth, Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 314-328.
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Contributions to books (1):

von Luxburg U Person and Schölkopf B Person: Statistical Learning Theory: Models, Concepts, and Results, 651-706. In: Handbook of the History of Logic, Vol. 10: Inductive Logic, (Ed) DM Gabbay, S Hartmann and JH Woods, Elsevier North Holland, Amsterdam, Netherlands, (2011).
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Technical reports (6):

Maier M Person, Hein M and von Luxburg U Person: Cluster Identification in Nearest-Neighbor Graphs, 163, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (2007).
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von Luxburg U Person: A tutorial on spectral clustering, 149, Max Planck Institute for Biological Cybernetics, Tübingen, (2006).
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von Luxburg U Person and Ben-David S : Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London, Presented at the PASCAL workshop on clustering, London, (2005).
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von Luxburg U Person, Belkin M and Bousquet O Person: Consistency of Spectral Clustering, 134, (2004).
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von Luxburg U Person and Franz VH Person: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem, 133, (2004).
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von Luxburg U Person, Bousquet O Person and Schölkopf B Person: A compression approach to support vector model selection, 101, Max Planck Institute for Biological Cybernetics, (2002).

Theses (1):

von Luxburg U Person: Statistical Learning with Similarity and Dissimilarity Functions, Max Planck Institute for biological cybernetics, Tübingen, Germany, (2004). PhD thesis
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