Publications of U von Luxburg

Conference Paper (17)

21.
Conference Paper
Guyon, I.; von Luxburg, U.; Williamson, R.: Clustering: Science or Art? In: NIPS 2009 Workshop on Clustering: Science or Art? Towards Principled Approaches, pp. 1 - 11. NIPS 2009 Workshop on Clustering: Science or Art? Towards Principled Approaches, Whistler, BC, Canada, December 11, 2009. (2009)
22.
Conference Paper
Jegelka, S.; Gretton, A.; Schölkopf, B.; Sriperumbudur, B.; von Luxburg, U.: Generalized Clustering via Kernel Embeddings. In: KI 2009: Advances in Artificial Intelligence: 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009, pp. 144 - 152 (Eds. Mertsching, B.; Hund, M.; Aziz, Z.). 32nd Annual Conference on Artificial Intelligence (KI 2009), Paderborn, Germany, September 15, 2009 - September 18, 2009. Springer, Berlin, Germany (2009)
23.
Conference Paper
Maier, M.; von Luxburg, U.; Hein, M.: Influence of graph construction on graph-based clustering measures. In: Advances in neural information processing systems 21, pp. 1025 - 1032 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
24.
Conference Paper
von Luxburg, U.; Bubeck, S.; Jegelka, S.; Kaufmann, M.: Consistent Minimization of Clustering Objective Functions. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 961 - 968 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
25.
Conference Paper
Ben-David, S.; von Luxburg, U.: Relating clustering stability to properties of cluster boundaries. In: 21st Annual Conference on Learning Theory (COLT 2008), pp. 379 - 390 (Eds. Servedio, R.; Zhang, T.). 21st Annual Conference on Learning Theory (COLT 2008), Helsinki, Finland, July 09, 2008 - July 12, 2008. Omnipress, Madison, WI, USA (2008)
26.
Conference Paper
Maier, M.; Hein, M.; von Luxburg, U.: Cluster Identification in Nearest-Neighbor Graphs. In: Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, pp. 196 - 210 (Eds. Hutter, M.; Servedio, R.; Takimoto, E.). 18th International Conference on Algorithmic Learning Theory (ALT 2007), Sendai, Japan, October 01, 2007 - October 04, 2007. Springer, Berlin, Germany (2007)
27.
Conference Paper
Ben-David, S.; von Luxburg, U.; Pal, D.: A Sober Look at Clustering Stability. In: Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, pp. 5 - 19 (Eds. Lugosi, G.; Simon, H.). 19th Annual Conference on Learning Theory (COLT 2006), Pittsburgh, PA, USA, June 22, 2006 - June 25, 2006. Springer, Berlin, Germany (2006)
28.
Conference Paper
von Luxburg, U.; Bousquet, O.; Belkin, M.: Limits of Spectral Clustering. In: Advances in Neural Information Processing Systems 17, pp. 857 - 864 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Kanada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
29.
Conference Paper
Hein, M.; Audibert, J.; von Luxburg, U.: From Graphs to Manifolds: Weak and Strong Pointwise Consistency of Graph Laplacians. In: Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, pp. 470 - 485 (Eds. Auer, P.; Meir, R.). 18th Annual Conference on Learning Theory (COLT 2005), Bertinoro, Italy, June 27, 2005 - June 30, 2005. Springer, Berlin, Germany (2005)
30.
Conference Paper
von Luxburg, U.; Bousquet, O.; Belkin, M.: On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. In: Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, pp. 457 - 471 (Eds. Shawe-Taylor, J.; Singer, Y.). 17th Annual Conference on Learning Theory (COLT 2004), Banff, Canada, July 01, 2004 - July 04, 2004. Springer, Berlin, Germany (2004)
31.
Conference Paper
von Luxburg, U.; Bousquet, O.: 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, Washington, DC, USA, August 24-27, 2003, pp. 314 - 328 (Eds. Schölkopf, B.; Warmuth, M.). 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Washington, DC, USA, August 24, 2003 - August 27, 2003. Springer, Berlin, Germany (2003)

Thesis - PhD (1)

32.
Thesis - PhD
von Luxburg, U.: Statistical Learning with Similarity and Dissimilarity Functions. Dissertation, 166 pp., Technische Universität Berlin, Berlin, Germany (2004)

Report (5)

33.
Report
Maier, M.; Hein, M.; von Luxburg, U.: Cluster Identification in Nearest-Neighbor Graphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 163). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 19 pp.
34.
Report
von Luxburg, U.: A tutorial on spectral clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 149). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 29 pp.
35.
Report
von Luxburg, U.; Belkin, M.; Bousquet, O.: Consistency of Spectral Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 134). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 34 pp.
36.
Report
von Luxburg, U.; Franz, V.: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem (Technical Report of the Max Planck Institute for Biological Cybernetics, 133). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 11 pp.
37.
Report
von Luxburg, U.; Bousquet, O.; Schölkopf, B.: A compression approach to support vector model selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 101). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 9 pp.
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