Ulrike von Luxburg

	2011
31		Sham M. Kakade, Ulrike von Luxburg: COLT 2011 - The 24th Annual Conference on Learning Theory, June 9-11, 2011, Budapest, Hungary JMLR.org 2011
30		Samory Kpotufe, Ulrike von Luxburg: Pruning nearest neighbor cluster trees. ICML 2011: 225-232
29		Dario García-García, Ulrike von Luxburg, Raúl Santos-Rodríguez: Risk-Based Generalizations of f-divergences. ICML 2011: 417-424
28		Morteza Alamgir, Ulrike von Luxburg: Phase transition in the family of p-resistances. NIPS 2011: 379-387
27		Markus Maier, Ulrike von Luxburg, Matthias Hein: How the result of graph clustering methods depends on the construction of the graph CoRR abs/1102.2075: (2011)
26		Samory Kpotufe, Ulrike von Luxburg: Pruning nearest neighbor cluster trees CoRR abs/1105.0540: (2011)
25		Sham M. Kakade, Ulrike von Luxburg: Preface. Journal of Machine Learning Research - Proceedings Track 19: (2011)
	2010
24		Morteza Alamgir, Ulrike von Luxburg: Multi-agent Random Walks for Local Clustering on Graphs. ICDM 2010: 18-27
23		Ulrike von Luxburg, Agnes Radl, Matthias Hein: Getting lost in space: Large sample analysis of the resistance distance. NIPS 2010: 2622-2630
22		Ulrike von Luxburg, Agnes Radl, Matthias Hein: Hitting times, commute distances and the spectral gap for large random geometric graphs CoRR abs/1003.1266: (2010)
	2009
21		Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg: Generalized Clustering via Kernel Embeddings. KI 2009: 144-152
20		Ulrike von Luxburg: Clustering Stability: An Overview. Foundations and Trends in Machine Learning 2(3): 235-274 (2009)
19		Sébastien Bubeck, Ulrike von Luxburg: Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions. Journal of Machine Learning Research 10: 657-698 (2009)
18		Markus Maier, Matthias Hein, Ulrike von Luxburg: Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters. Theor. Comput. Sci. 410(19): 1749-1764 (2009)
	2008
17		Shai Ben-David, Ulrike von Luxburg: Relating Clustering Stability to Properties of Cluster Boundaries. COLT 2008: 379-390
16		Markus Maier, Ulrike von Luxburg, Matthias Hein: Influence of graph construction on graph-based clustering measures. NIPS 2008: 1025-1032
	2007
15		Markus Maier, Matthias Hein, Ulrike von Luxburg: Cluster Identification in Nearest-Neighbor Graphs. ALT 2007: 196-210
14		Ulrike von Luxburg, Sébastien Bubeck, Stefanie Jegelka, Michael Kaufmann: Consistent Minimization of Clustering Objective Functions. NIPS 2007
13		Ulrike von Luxburg: A Tutorial on Spectral Clustering CoRR abs/0711.0189: (2007)
12		Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg: Graph Laplacians and their Convergence on Random Neighborhood Graphs. Journal of Machine Learning Research 8: 1325-1368 (2007)
11		Ulrike von Luxburg: A tutorial on spectral clustering. Statistics and Computing 17(4): 395-416 (2007)
	2006
10		Shai Ben-David, Ulrike von Luxburg, Dávid Pál: A Sober Look at Clustering Stability. COLT 2006: 5-19
9		Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg: Graph Laplacians and their convergence on random neighborhood graphs CoRR abs/math/0608522: (2006)
	2005
8		Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg: From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians. COLT 2005: 470-485
	2004
7		Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch: Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures Springer 2004
6		Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin: On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. COLT 2004: 457-471
5		Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin: Limits of Spectral Clustering. NIPS 2004
4		Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf: A Compression Approach to Support Vector Model Selection. Journal of Machine Learning Research 5: 293-323 (2004)
3		Ulrike von Luxburg, Olivier Bousquet: Distance-Based Classification with Lipschitz Functions. Journal of Machine Learning Research 5: 669-695 (2004)
2		Ulrike von Luxburg: Statistical learning with similarity and dissimilarity functions. Berlin Institute of Technology 2004: 1-166
	2003
1		Ulrike von Luxburg, Olivier Bousquet: Distance-Based Classification with Lipschitz Functions. COLT 2003: 314-328

Coauthor Index

1	Morteza Alamgir	[24] [28]
2	Jean-Yves Audibert	[8] [9] [12]
3	Mikhail Belkin	[5] [6]
4	Shai Ben-David	[10] [17]
5	Olivier Bousquet	[1] [3] [4] [5] [6] [7]
6	Sébastien Bubeck	[14] [19]
7	Dario García-García	[29]
8	Arthur Gretton	[21]
9	Matthias Hein	[8] [9] [12] [15] [16] [18] [22] [23] [27]
10	Stefanie Jegelka	[14] [21]
11	Sham M. Kakade (Sham Kakade)	[25] [31]
12	Michael Kaufmann	[14]
13	Samory Kpotufe	[26] [30]
14	Markus Maier	[15] [16] [18] [27]
15	Dávid Pál	[10]
16	Agnes Radl	[22] [23]
17	Gunnar Rätsch	[7]
18	Raúl Santos-Rodríguez	[29]
19	Bernhard Schölkopf	[4] [21]
20	Bharath K. Sriperumbudur	[21]

Colors in the list of coauthors

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page