Matthias Hein

Empirical Inference Research Scientist Alumni

Empirical Inference Technical Report Energy Functionals for Manifold-valued Mappings and Their Properties Hein, M., Steinke, F., Schölkopf, B. (167), Max Planck Institute for Biological Cybernetics, Tübingen, January 2008 () PDF BibTeX

Empirical Inference Conference Paper Cluster Identification in Nearest-Neighbor Graphs Maier, M., Hein, M., von Luxburg, U. In Algorithmic Learning Theory: Proceedings of the 18th International Confererence (ALT 2007), ALT 2007, :196-210, (Editors: Hutter, M. , R. A. Servedio, E. Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory, October 2007 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Manifold Denoising Hein, M., Maier, M. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :561-568, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Manifold Denoising as Preprocessing for Finding Natural Representations of Data Hein, M., Maier, M. In Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), AAAI-07, :1646-1649, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), July 2007 () PDF Web BibTeX

Empirical Inference Article Graph Laplacians and their Convergence on Random Neighborhood Graphs Hein, M., Audibert, J., von Luxburg, U. Journal of Machine Learning Research, 8:1325-1370, June 2007 () PDF PDF BibTeX

Empirical Inference Technical Report Cluster Identification in Nearest-Neighbor Graphs Maier, M., Hein, M., von Luxburg, U. (163), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, May 2007 () PDF BibTeX

Empirical Inference Conference Paper Uniform Convergence of Adaptive Graph-Based Regularization Hein, M. In Learning Theory: 19th Annual Conference on Learning Theory (COLT 2006), COLT 2006, :50-64, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006 () PDF Web DOI BibTeX

Empirical Inference Ph.D. Thesis Geometrical aspects of statistical learning theory Hein, M. Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 () PDF BibTeX

Empirical Inference Article Maximal Margin Classification for Metric Spaces Hein, M., Bousquet, O., Schölkopf, B. Journal of Computer and System Sciences, 71(3):333-359, October 2005 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Hilbertian Metrics and Positive Definite Kernels on Probability Measures Hein, M., Bousquet, O. In Proceedings of AISTATS 2005, AISTATS 2005, :136-143, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), January 2005 () PDF Web BibTeX