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Sebastien Bubeck
Position: Diploma Student
Room no.: 205

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2012
Articles
  • S. Bubeck, M. Meila, U. Luxburg (2012). How the initialization affects the stability of the k-means algorithm ESAIM: Probability and Statistics, 16, 436-452
2009
Articles
  • S. Bubeck, U. Luxburg (2009). Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Journal of Machine Learning Research, 10, 657-698
2008
Conference Papers
  • U. Luxburg, S. Bubeck, S. Jegelka, M. Kaufmann (2008). Consistent Minimization of Clustering Objective Functions In: Advances in neural information processing systems 20, (Ed) Platt, J. C., D. Koller, Y. Singer, S. Roweis, Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, Curran, Red Hook, NY, USA, 961-968, ISBN: 978-1-605-60352-0, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007)