A tutorial on spectral clustering U Von Luxburg Statistics and computing 17, 395-416, 2007 | 13192 | 2007 |
Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008 | 781 | 2008 |
Clustering stability: an overview U Von Luxburg Foundations and Trends® in Machine Learning 2 (3), 235-274, 2010 | 412 | 2010 |
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 | 408 | 2005 |
Clustering: Science or art? U Von Luxburg, RC Williamson, I Guyon Proceedings of ICML workshop on unsupervised and transfer learning, 65-79, 2012 | 362 | 2012 |
Graph laplacians and their convergence on random neighborhood graphs. M Hein, JY Audibert, U Luxburg Journal of Machine Learning Research 8 (6), 2007 | 339 | 2007 |
Statistical learning theory: Models, concepts, and results U Von Luxburg, B Schölkopf Handbook of the History of Logic 10, 651-706, 2011 | 333 | 2011 |
A sober look at clustering stability S Ben-David, U Von Luxburg, D Pál Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006 …, 2006 | 311 | 2006 |
Distance-Based Classification with Lipschitz Functions. U von Luxburg, O Bousquet J. Mach. Learn. Res. 5 (Jun), 669-695, 2004 | 256 | 2004 |
Explaining the explainer: A first theoretical analysis of LIME D Garreau, U Luxburg International conference on artificial intelligence and statistics, 1287-1296, 2020 | 244 | 2020 |
Influence of graph construction on graph-based clustering measures M Maier, U Luxburg, M Hein Advances in neural information processing systems 21, 2008 | 224 | 2008 |
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 | 184 | 2011 |
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 | 161 | 2014 |
Clustering: Science or art I Guyon, U Von Luxburg, RC Williamson NIPS 2009 workshop on clustering theory, 1-11, 2009 | 159 | 2009 |
Limits of spectral clustering U Luxburg, O Bousquet, M Belkin Advances in neural information processing systems 17, 2004 | 159 | 2004 |
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 | 153 | 2009 |
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 | 124 | 2010 |
Towards a statistical theory of clustering U Von Luxburg, S Ben-David Pascal workshop on statistics and optimization of clustering, 20-26, 2005 | 118 | 2005 |
When do random forests fail? C Tang, D Garreau, U von Luxburg Advances in neural information processing systems 31, 2018 | 117 | 2018 |
Design and analysis of the NIPS 2016 review process NB Shah, B Tabibian, K Muandet, I Guyon, U Von Luxburg Journal of machine learning research 19 (49), 1-34, 2018 | 117 | 2018 |