Ulrike von Luxburg
Ulrike von Luxburg
Verified email at informatik.uni-tuebingen.de
Cited by
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A tutorial on spectral clustering
U Von Luxburg
Statistics and computing 17 (4), 395-416, 2007
Consistency of spectral clustering
U Von Luxburg, M Belkin, O Bousquet
The Annals of Statistics, 555-586, 2008
From graphs to manifolds–weak and strong pointwise consistency of graph Laplacians
M Hein, JY Audibert, U Von Luxburg
International Conference on Computational Learning Theory, 470-485, 2005
Clustering stability: an overview
U Von Luxburg
Now Publishers Inc, 2010
A sober look at clustering stability
S Ben-David, U Von Luxburg, D Pál
International Conference on Computational Learning Theory, 5-19, 2006
Graph laplacians and their convergence on random neighborhood graphs.
M Hein, JY Audibert, U Luxburg
Journal of Machine Learning Research 8 (6), 2007
Influence of graph construction on graph-based clustering measures.
M Maier, U Von Luxburg, M Hein
NIPS 1025, 1032, 2008
Clustering: Science or art?
U Von Luxburg, RC Williamson, I Guyon
Proceedings of ICML workshop on unsupervised and transfer learning, 65-79, 2012
Statistical learning theory: Models, concepts, and results
U Von Luxburg, B Schölkopf
Handbook of the History of Logic 10, 651-706, 2011
Distance-Based Classification with Lipschitz Functions.
U von Luxburg, O Bousquet
J. Mach. Learn. Res. 5 (Jun), 669-695, 2004
Limits of Spectral Clustering.
U Von Luxburg, O Bousquet, M Belkin
NIPS 17, 2004
Clustering: Science or art
I Guyon, U Von Luxburg, RC Williamson
NIPS 2009 workshop on clustering theory, 1-11, 2009
Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters
M Maier, M Hein, U Von Luxburg
Theoretical Computer Science 410 (19), 1749-1764, 2009
Curran Associates
I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ...
Inc.: Red Hook, NY, USA, 5998-6008, 2017
Hitting and commute times in large random neighborhood graphs
U Von Luxburg, A Radl, M Hein
The Journal of Machine Learning Research 15 (1), 1751-1798, 2014
Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures
O Bousquet, U von Luxburg, G Rätsch
Springer, 2011
Towards a statistical theory of clustering
U Von Luxburg, S Ben-David
Pascal workshop on statistics and optimization of clustering, 20-26, 2005
Getting lost in space: Large sample analysis of the commute distance
U Von Luxburg, A Radl, M Hein
Advances in neural information processing systems 23, 2622-2630, 2010
Nearest neighbor clustering: A baseline method for consistent clustering with arbitrary objective functions
S Bubeck, U Luxburg
The Journal of Machine Learning Research 10, 657-698, 2009
A compression approach to support vector model selection
U Von Luxburg, O Bousquet, B Schölkopf
J. Mach. Learn. Res. 5, 293-323, 2004
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