Christian Igel

Christian Igel


Primary fields of research

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- & multi-objective optimization and reinforcement learning,
  • deep neural networks and stochastic neural networks,
  • PAC-Bayesian analysis of ensemble methods, 

and applications of these methods.

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