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.