Quick Links
Contact
Dr. Ulrike von Luxburg |
| Address: | Spemannstr. 38 72076 Tübingen |
| Room number: | 206 |
| Phone: | +49 40 42883 2392 |
| E-Mail: |  ulrike.luxburg |
I moved to the University of Hamburg. 
Here is my new homepage.
Proceedings (2): | |
|---|---|
| • |
and von Luxburg U  : JMLR Workshop and Conference Proceedings Volume 19: COLT 2011, 24th Annual Conference on Learning Theory, 834, MIT Press, Cambridge, MA, USA, (2011).- 
|
| • |
Bousquet O , von Luxburg U and Rätsch G : Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (2004). 978-3-540-23122-6
|
Articles (11): | |
| • |
Maier M , von Luxburg U and (2012) How the result of graph clustering methods depends on the construction of the graph
ESAIM: Probability & Statistics . in press
|
| • |
Bubeck S , and von Luxburg U (2012) How the initialization affects the stability of the k-means algorithm
ESAIM: Probability and Statistics 16 436-452.
|
| • |
von Luxburg U (2010) Clustering stability: an overview
Foundations and Trends in Machine Learning 2(3) 235-274.
|
| • |
von Luxburg U and Franz VH (2009) A Geometric Approach to Confidence Sets for Ratios: Fieller‘s Theorem, Generalizations, and Bootstrap
Statistica Sinica 19(3) 1095-1117.
|
| • |
Maier M , and von Luxburg U (2009) Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters
Theoretical Computer Science 410(19) 1749-1764.
|
| • |
Bubeck S and von Luxburg U (2009) Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
Journal of Machine Learning Research 10 657-698.
|
| • |
von Luxburg U , and Bousquet O (2008) Consistency of Spectral Clustering
Annals of Statistics 36(2) 555-586.
|
| • |
von Luxburg U (2007) A Tutorial on Spectral Clustering
Statistics and Computing 17(4) 395-416.
|
| • |
Hein M , and von Luxburg U (2007) Graph Laplacians and their Convergence on Random Neighborhood Graphs
Journal of Machine Learning Research 8 1325-1370.
|
| • |
von Luxburg U and Bousquet O (2004) Distance-Based Classification with Lipschitz Functions
Journal of Machine Learning Research 5 669-695.
|
| • |
von Luxburg U , Bousquet O and Schölkopf B (2004) A Compression Approach to Support Vector Model Selection
The Journal of Machine Learning Research 5 293-323.
|
Conference papers (17): | |
| • |
von Luxburg U , and (2012) Clustering: Science or Art?
In: JMLR Workshop and Conference Proceedings, Volume 27, Workshop on Unsupervised Learning and Transfer Learning, 65-79.
|
| • |
Alamgir M and von Luxburg U (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.
|
| • |
Kpotufe S and von Luxburg U (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.
|
| • |
, von Luxburg U and (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.
|
| • |
Alamgir M and von Luxburg U (2011) Phase transition in the family of p-resistances
In: Advances in Neural Information Processing Systems 24, (Ed) , , , and , Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 379-387.
|
| • |
Alamgir M and von Luxburg U (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.
|
| • |
von Luxburg U , Radl A and Hein M (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.
|
| • |
Jegelka S , Gretton A , Schölkopf B , Sriperumbudur BK and von Luxburg U (2009) Generalized Clustering via Kernel Embeddings
In: KI 2009: AI and Automation, Lecture Notes in Computer Science, Vol. 5803, (Ed) , and , 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
|
| • |
Maier M , von Luxburg U and Hein M (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.
|
| • |
von Luxburg U , Bubeck S , Jegelka S and (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.
|
| • |
and von Luxburg U (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.
|
| • |
Maier M , and von Luxburg U (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.
|
| • |
, von Luxburg U and (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.
|
| • |
von Luxburg U , Bousquet O and (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.
|
| • |
Hein M , and von Luxburg U (2005) From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians
Conference on Learning Theory, 470-485.
|
| • |
von Luxburg U , Bousquet O and (2004) On the Convergence of Spectral Clustering on Random Samples: The Normalized Case
Proceedings of the 17th Annual Conference on Learning Theory, 457-471.
|
| • |
von Luxburg U and Bousquet O (2003) Distance-based classification with Lipschitz functions
(Ed) and , Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 314-328.
|
Contributions to books (1): | |
| • |
von Luxburg U and Schölkopf B : Statistical Learning Theory: Models, Concepts, and Results, 651-706.
In: Handbook of the History of Logic, Vol. 10: Inductive Logic, (Ed) , and , Elsevier North Holland, Amsterdam, Netherlands, (2011).
|
Technical reports (6): | |
| • |
Maier M , and von Luxburg U : Cluster Identification in Nearest-Neighbor Graphs, 163, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (2007).
|
| • |
von Luxburg U : A tutorial on spectral clustering, 149, Max Planck Institute for Biological Cybernetics, Tübingen, (2006).
|
| • |
von Luxburg U and : Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London, Presented at the PASCAL workshop on clustering, London, (2005).
|
| • |
von Luxburg U , and Bousquet O : Consistency of Spectral Clustering, 134, (2004).
|
| • |
von Luxburg U and Franz VH : Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem, 133, (2004).
|
| • |
von Luxburg U , Bousquet O and Schölkopf B : A compression approach to support vector model selection, 101, Max Planck Institute for Biological Cybernetics, (2002).
|
Theses (1): | |
| • |
von Luxburg U : Statistical Learning with Similarity and Dissimilarity Functions, Max Planck Institute for biological cybernetics, Tübingen, Germany, (2004).
PhD thesis
|