The Image Group – University of Copenhagen

The Image Group
Christian's Homepage

Image of Me

Christian Igel

Professor mso, Dr. habil.
University of Copenhagen
Universitetsparken 5
2100 København Ø
Email: igel@diku.dk
Office: HCØ - Building E, Office 4.0.2
Phone: (+45) 21849673

Short CV

I studied Computer Science at the Technical University of Dortmund, Germany. In 2002, I received my Doctoral degree from the Faculty of Technology, Bielefeld University, Germany, and in 2010 my Habilitation degree from the Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany. From 2002 to 2010, I was a Juniorprofessor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum. In October 2010, I was appointed professor with special duties in machine learning at DIKU.

Research Interests

My main research area is Machine Learning.

Currently I am particularly interested in

  • support vector machines and other kernel-based methods,
  • evolution strategies for single- and multi-objective optimization,
  • stochastic neural networks and undirected graphical models,
and applications of these methods.

Selected Publications

Please click here for a full list.

Oswin Krause, Asja Fischer, Tobias Glasmachers, and Christian Igel. Approximation properties of DBNs with binary hidden units and real-valued visible units. JMLR W&CP 28(1), pp. 419–426, 2013
Asja Fischer and Christian Igel. Bounding the Bias of Contrastive Divergence Learning. Neural Computation 23, pp. 664-673, 2011
Tobias Glasmachers and Christian Igel. Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(8), pp. 1522-1528, 2010 source code
Thorsten Suttorp, Nikolaus Hansen, and Christian Igel. Efficient Covariance Matrix Update for Variable Metric Evolution Strategies. Machine Learning 75, pp. 167-197, 2009 source code
Verena Heidrich-Meisner and Christian Igel. Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Policy Search. In L. Bottou and M. Littman, eds.: Proceedings of the International Conference on Machine Learning (ICML 2009), pp. 401-408, 2009
Christian Igel, Verena Heidrich-Meisner, and Tobias Glasmachers. Shark. Journal of Machine Learning Research 9, pp. 993-996, 2008 source code
Tobias Glasmachers and Christian Igel. Maximum-Gain Working Set Selection for SVMs. Journal of Machine Learning Research 7, pp. 1437-1466, 2006 source code