Faculty of Mathematics and Computer Science,
Building E 1 1, Room 227
Universität des Saarlandes
Postfach 15 11 50
D - 66041 Saarbrücken
phone: +49 (0) 681 302 57332
Since April 2009 I am a researcher and Ph.D. student in the Machine Learning Group at Saarland University, under supervision of Prof. Matthias Hein. I obtained B.Sc. and M.Sc. degrees in Computer Science from Saarland University in 2007 and 2009, respectively.
My general research interests are in machine learning and optimization, as well as applications in network analysis, information retrieval and computer vision.
The main focus during my PhD was on tight relaxations of combinatorial problems, their connection to nonlinear eigenproblems as well as their algorithmical solution. This lead to several applications in unsupervised learning in a graph-based setting which were demonstrated to have a superior performance compared to methods based on standard spectral relaxations.
- Community detection - Project page.
- Team formation in social networks - Project page.
- Sparse PCA - Project page.
- One-Spectral Clustering - Project page.
- p-Spectral Clustering - Project page.
TALKS ON THE WEB
- S. Rangapuram, T. Bühler and M. Hein
Towards Realistic Team Formation in Social Networks based on Densest Subgraphs
In Proc. 22nd International World Wide Web Conference (WWW 2013), 1077-1088, 2013 PDF . Code.
- T. Bühler, S. Rangapuram, S. Setzer and M. Hein
Constrained fractional set programs and their application in local clustering and community detection
In Proc. 30th International Conference on Machine Learning (ICML 2013), JMLR W&CP 28 (1): 624-632, 2013 PDF (Supplementary material: PDF ).
- M. Hein and T. Bühler
An inverse power method for nonlinear eigenproblems with applications in 1-spectral clustering and sparse PCA
In Advances in Neural Information Processing Systems 23 (NIPS 2010), 847-855, 2010. PDF (Supplementary material: PDF ). Code.
- T. Bühler and M. Hein
Spectral Clustering based on the graph p-Laplacian
In Proc. 26th International Conference on Machine Learning (ICML 2009), 81-88, Omnipress, 2009. PDF (Supplementary material: PDF - Errata of Supp. Mat.: PDF ). Code.
- N. Slesareva, T. Bühler, K. Hagenburg, J. Weickert, A. Bruhn, Z. Karni and H.-P. Seidel
Robust Variational Reconstruction from Multiple Views
In Proc. 15th Scandinavian Conference on Image Analysis (SCIA 2007), 173-182, Springer, 2007. PDF