Proceedings (2): |
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Kakade SM 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, (June-2011). -
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Bousquet O , von Luxburg U and Rätsch G : Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (September-2004). 978-3-540-23122-6
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Articles (10): |
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Maier M , von Luxburg U and Hein M (February-2012) How the result of graph clustering methods depends on the construction of the graph
ESAIM: Probability & Statistics . in press
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von Luxburg U (July-2010) Clustering stability: an overview
Foundations and Trends in Machine Learning 2(3) 235-274.

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von Luxburg U and Franz VH (July-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 and 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 and von Luxburg U (March-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 and Bousquet O (April-2008) Consistency of Spectral Clustering
Annals of Statistics 36(2) 555-586.

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von Luxburg U (December-2007) A Tutorial on Spectral Clustering
Statistics and Computing 17(4) 395-416.
 
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Hein M , Audibert J-Y and von Luxburg U (June-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 and Bousquet O (June-2004) Distance-Based Classification with Lipschitz Functions
Journal of Machine Learning Research 5 669-695.
 
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von Luxburg U , Bousquet O and Schölkopf B (April-2004) A Compression Approach to Support Vector Model Selection
The Journal of Machine Learning Research 5 293-323.
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Conference papers (16): |
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Alamgir M and von Luxburg U (January-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), 379-387.

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Kpotufe S and von Luxburg U (July-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 and Santos-Rodríguez R (July-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 and Hein M (June-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 and von Luxburg U (December-2010) Multi-agent random walks for local clustering
IEEE International Conference on Data Mining (ICDM 2010), IEEE, Piscataway, NJ, USA, 18-27.
 
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Guyon I , von Luxburg U and Williamson R (December-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 and von Luxburg U (September-2009) Generalized Clustering via Kernel Embeddings
In: KI 2009: AI and Automation, 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
  
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Maier M , von Luxburg U and Hein M (June-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 and 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 and von Luxburg U (July-2008) Relating clustering stability to properties of cluster boundaries
In: COLT 2008, 21st Annual Conference on Learning Theory, Omnipress, Madison, WI, USA, 379-390.

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Maier M , Hein M and von Luxburg U (October-2007) Cluster Identification in Nearest-Neighbor Graphs
In: ALT 2007, 18th International Conference on Algorithmic Learning Theory, Springer, Berlin, Germany, 196-210.
 
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Ben-David S , von Luxburg U and Pal D (September-2006) A Sober Look at Clustering Stability
In: COLT 2006, 19th Annual Conference on Learning Theory, Springer, Berlin, Germany, 5-19.
 
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von Luxburg U , Bousquet O and Belkin M (July-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 and von Luxburg U (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 , Bousquet O 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 and Bousquet O (2003) Distance-based classification with Lipschitz functions
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): |
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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) D. M. Gabbay, Elsevier North Holland, Amsterdam, Netherlands, (May-2011).
 
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Technical reports (6): |
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Maier M , Hein M and von Luxburg U : Cluster Identification in Nearest-Neighbor Graphs, 163, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (May-2007).
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von Luxburg U : A tutorial on spectral clustering, 149, Max Planck Institute for Biological Cybernetics, Tübingen, (August-2006).
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von Luxburg U 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 , Belkin M and Bousquet O : Consistency of Spectral Clustering, 134, (December-2004).
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von Luxburg U and Franz VH : Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem, 133, (2004).
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von Luxburg U , Bousquet O and Schölkopf B : A compression approach to support vector model selection, 101, Max Planck Institute for Biological Cybernetics, (2002).
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Theses (1): |
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von Luxburg U : Statistical Learning with Similarity and Dissimilarity Functions, Max Planck Institute for biological cybernetics, Tübingen, Germany, (2004).
PhD thesis

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