| A tutorial on spectral clustering U Von Luxburg Statistics and computing 17, 395-416, 2007 | 10037 | 2007 |
| Proceedings of the 31st International Conference on Neural Information Processing Systems U von Luxburg, I Guyon, S Bengio, H Wallach, R Fergus Curran Associates Inc., 2017 | 4701* | 2017 |
| A tutorial on spectral clustering U Luxburg Statistics and computing 17 (4), 395-416, 2007 | 3245 | 2007 |
| Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008 | 755 | 2008 |
| Advances in neural information processing systems SM Lundberg, SI Lee, I Guyon, UV Luxburg, S Bengio Guyon, UV Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, R …, 2017 | 597 | 2017 |
| Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017 | 534 | 2017 |
| 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 | 406 | 2005 |
| Clustering stability: an overview U Von Luxburg Foundations and Trends® in Machine Learning 2 (3), 235-274, 2010 | 386 | 2010 |
| Clustering: Science or art? U Von Luxburg, RC Williamson, I Guyon Proceedings of ICML workshop on unsupervised and transfer learning, 65-79, 2012 | 331 | 2012 |
| Graph laplacians and their convergence on random neighborhood graphs. M Hein, JY Audibert, U Luxburg Journal of Machine Learning Research 8 (6), 2007 | 331 | 2007 |
| 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 | 306 | 2006 |
| Statistical learning theory: Models, concepts, and results U Von Luxburg, B Schölkopf Handbook of the History of Logic 10, 651-706, 2011 | 299 | 2011 |
| Distance-Based Classification with Lipschitz Functions. U von Luxburg, O Bousquet J. Mach. Learn. Res. 5 (Jun), 669-695, 2004 | 243 | 2004 |
| Influence of graph construction on graph-based clustering measures M Maier, U Luxburg, M Hein Advances in neural information processing systems 21, 2008 | 221 | 2008 |
| Explaining the explainer: A first theoretical analysis of LIME D Garreau, U Luxburg International conference on artificial intelligence and statistics, 1287-1296, 2020 | 208 | 2020 |
| Proceedings of the 30th International Conference on Neural Information Processing Systems DD Lee, U von Luxburg, R Garnett, M Sugiyama, I Guyon Curran Associates Inc., 2016 | 196 | 2016 |
| 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 | 175 | 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 | 158 | 2009 |
| Limits of spectral clustering U Luxburg, O Bousquet, M Belkin Advances in neural information processing systems 17, 2004 | 158 | 2004 |
