Contact

Dr. Ulrike von Luxburg

Adresse: Spemannstr. 38
72076 Tübingen
Raum Nummer: 206

 

Bild von von Luxburg, Ulrike, Dr.

Ulrike von Luxburg

Position: Seniorwissenschaftler  Abteilung: 




Even though I still belong to the Tübingen institute, I am mainly located at the University of Hamburg. Here is my new homepage.







Please look at my new homepage.







Please look at my new homepage.




Präferenzen: 
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Bücher (1):

von Luxburg U: Statistical Learning with Similarity and Dissimilarity Functions, 166, Logos Verlag, Berlin, Germany, (2004). ISBN: 978-3-8325-0767-1, Series: MPI Series in Biological Cybernetics ; 10

Tagungsbände (2):

Kakade SM und von Luxburg U: COLT 2011, 24th Annual Conference on Learning Theory, 834, MIT Press, Cambridge, MA, USA, (Juni-2011).
-, Series: JMLR Workshop and Conference Proceedings ; 19
Bousquet O, von Luxburg U und Rätsch G: Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (September-2004).
978-3-540-23122-6, Series: Lecture Notes in Computer Science ; 3176

Artikel (10):

Maier M, von Luxburg U und Hein M (Januar-2013) How the result of graph clustering methods depends on the construction of the graph ESAIM: Probability and Statistics 17 370-418.
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von Luxburg U (Juli-2010) Clustering stability: an overview Foundations and Trends in Machine Learning 2(3) 235-274.
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von Luxburg U und Franz VH (Juli-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, Hein M und von Luxburg U (April-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 und von Luxburg U (März-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, Belkin M und Bousquet O (April-2008) Consistency of Spectral Clustering Annals of Statistics 36(2) 555-586.
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von Luxburg U (Dezember-2007) A Tutorial on Spectral Clustering Statistics and Computing 17(4) 395-416.
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Hein M, Audibert J-Y und von Luxburg U (Juni-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 und Bousquet O (Juni-2004) Distance-Based Classification with Lipschitz Functions Journal of Machine Learning Research 5 669-695.
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von Luxburg U, Bousquet O und Schölkopf B (April-2004) A Compression Approach to Support Vector Model Selection The Journal of Machine Learning Research 5 293-323.

Beiträge zu Tagungsbänden (17):

Alamgir M und von Luxburg U (Januar-2012) Phase transition in the family of p-resistances In: Advances in Neural Information Processing Systems 24, , Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran, Red Hook, NY, USA, 379-387.
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von Luxburg U, Williamson RC und Guyon I (2012) Clustering: Science or Art?, Unsupervised and Transfer Learning Workshop, held at ICML 2011, International Machine Learning Society, Madison, WI, USA, 65-80, Series: JMLR Workshop and Conference Proceedings ; 27.
Kpotufe S und von Luxburg U (Juli-2011) Pruning nearest neighbor cluster trees, 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 und Santos-Rodríguez R (Juli-2011) Risk-Based Generalizations of f-divergences, 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 417-424.
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von Luxburg U, Radl A und Hein M (Juni-2011) Getting lost in space: Large sample analysis of the resistance distance In: Advances in Neural Information Processing Systems 23, , Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 2622-2630.
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Alamgir M und von Luxburg U (Dezember-2010) Multi-agent Random Walks for Local Clustering on Graphs, IEEE International Conference on Data Mining (ICDM 2010), IEEE, Piscataway, NJ, USA, 18-27.
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Guyon I, von Luxburg U und Williamson R (Dezember-2009) Clustering: Science or Art?, NIPS 2009 Workshop on "Clustering: Science or Art? Towards Principled Approaches", 1-11.
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Jegelka S, Gretton A, Schölkopf B, Sriperumbudur BK und von Luxburg U (September-2009) Generalized Clustering via Kernel Embeddings In: KI 2009: Advances in Artificial Intelligence, , 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152, Series: Lecture Notes in Computer Science ; 5803.
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Maier M, von Luxburg U und Hein M (Juni-2009) Influence of graph construction on graph-based clustering measures In: Advances in neural information processing systems 21, , 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, Bubeck S, Jegelka S und Kaufmann M (September-2008) Consistent Minimization of Clustering Objective Functions In: Advances in neural information processing systems 20, , 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 und von Luxburg U (Juli-2008) Relating clustering stability to properties of cluster boundaries, 21st Annual Conference on Learning Theory (COLT 2008), Omnipress, Madison, WI, USA, 379-390.
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Maier M, Hein M und von Luxburg U (Oktober-2007) Cluster Identification in Nearest-Neighbor Graphs In: Algorithmic Learning Theory, , 18th International Conference on Algorithmic Learning Theory (ALT 2007), Springer, Berlin, Germany, 196-210, Series: Lecture Notes in Computer Science ; 4754.
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Ben-David S, von Luxburg U und Pal D (Juni-2006) A Sober Look at Clustering Stability In: Learning Theory, , 19th Annual Conference on Learning Theory (COLT 2006), Springer, Berlin, Germany, 5-19, Series: Lecture Notes in Computer Science ; 4005.
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von Luxburg U, Bousquet O und Belkin M (Juli-2005) Limits of Spectral Clustering In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 857-864.
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Hein M, Audibert J-Y und von Luxburg U (Juni-2005) From Graphs to Manifolds: Weak and Strong Pointwise Consistency of Graph Laplacians In: Learning Theory, , 18th Annual Conference on Learning Theory (COLT 2005), Springer, Berlin, Germany, 470-485, Series: Lecture Notes in Computer Science ; 3559.
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von Luxburg U, Bousquet O und Belkin M (Juli-2004) On the Convergence of Spectral Clustering on Random Samples: The Normalized Case In: Learning Theory, , 17th Annual Conference on Learning Theory (COLT 2004), Springer, Berlin, Germany, 457-471, Series: Lecture Notes in Computer Science ; 3120.
von Luxburg U und Bousquet O (August-2003) Distance-Based Classification with Lipschitz Functions In: Learning Theory and Kernel Machines, , 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Springer, Berlin, Germany, 314-328, Series: Lecture Notes in Computer Science ; 2777.

Beiträge zu Büchern (1):

von Luxburg U und Schölkopf B: Statistical Learning Theory: Models, Concepts, and Results, 651-706. In: Handbook of the History of Logic Vol. 10: Inductive Logic, (Ed) D. M. Gabbay, Elsevier North Holland, Amsterdam, Netherlands, (Mai-2011).
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Technische Berichte (5):

Maier M, Hein M und von Luxburg U: Cluster Identification in Nearest-Neighbor Graphs, 163, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (Mai-2007).
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von Luxburg U: A tutorial on spectral clustering, 149, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2006).
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von Luxburg U und Franz VH: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem, 133, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Dezember-2004).
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von Luxburg U, Belkin M und Bousquet O: Consistency of Spectral Clustering, 134, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Dezember-2004).
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von Luxburg U, Bousquet O und Schölkopf B: A compression approach to support vector model selection, 101, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (September-2002).
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Abschlussarbeiten (1):

von Luxburg U: Statistical Learning with Similarity and Dissimilarity Functions, Technische Universität Berlin, (November-24-2004). PhD thesis
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Vorträge (1):

von Luxburg U und Ben-David S (2005) Invited Lecture: Towards a Statistical Theory of Clustering, PASCAL Workshop on Clustering, London, UK.
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Last updated: Montag, 22.05.2017