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All publications by Ulrike V. Luxburg
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Local Ordinal Embedding
Yoshikazu Terada and Ulrike V. Luxburg
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike V. Luxburg and Gilles Blanchard
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike V. Luxburg and Morteza Alamgir
Advances in Neural Information Processing Systems 26, 2013


Shortest path distance in random k-nearest neighbor graphs
Morteza Alamgir and Ulrike V. Luxburg
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Phase transition in the family of p-resistances
Morteza Alamgir and Ulrike V. Luxburg
Advances in Neural Information Processing Systems 24, 2011


Pruning nearest neighbor cluster trees
Samory Kpotufe and Ulrike V. Luxburg
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Risk-Based Generalizations of f-divergences
Ulrike V. Luxburg, Ra\'ul Santos-rodr\'iiguez and Darío García-garcía
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Getting lost in space: Large sample analysis of the resistance distance
Ulrike V. Luxburg, Agnes Radl and Matthias Hein
Advances in Neural Information Processing Systems 23, 2010


Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
Sébastien Bubeck and Ulrike V. Luxburg
Journal of Machine Learning Research, 2009


Influence of graph construction on graph-based clustering measures
Markus Maier, Ulrike V. Luxburg and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008


Consistent Minimization of Clustering Objective Functions
Ulrike V. Luxburg, Stefanie Jegelka, Michael Kaufmann and Sébastien Bubeck
Advances in Neural Information Processing Systems 20, 2007


Graph Laplacians and their Convergence on Random Neighborhood Graphs
Matthias Hein, Jean-yves Audibert and Ulrike V. Luxburg
Journal of Machine Learning Research, 2007


Limits of Spectral Clustering
Ulrike V. Luxburg, Olivier Bousquet and Mikhail Belkin
Advances in Neural Information Processing Systems 17, 2004


A Compression Approach to Support Vector Model Selection
Ulrike V. Luxburg, Olivier Bousquet and Bernhard Schölkopf
Journal of Machine Learning Research, 2004


Distance-Based Classification with Lipschitz Functions
Ulrike V. Luxburg and Olivier Bousquet
Journal of Machine Learning Research, 2004