We are delighted to announce Dr. Marius Lindauer as keynote speaker. Marius Lindauer is a junior research group lead at the University of Freiburg (Germany). His goal is to make the technology behind state-of-the-art research on artificial intelligence (AI) available to everyone. To this end, his research and tools aim at automating the development process of new AI systems. He received his M.Sc. and Ph.D. in computer science at the University of Potsdam (Germany), where he worked in the Potassco group. In 2014, he moved to Freiburg i.Br. (Germany) as a postdoctoral research fellow in the AutoML.org group. In 2013, he was one of the co-founders of the international research network COSEAL (COnfiguration and SElection of ALgorithms) and is nowadays a member of its advisory board. Besides organizing the first open algorithm selection challenge and winning several international AI competitions, he was a member of the team that won the first and second edition of the international challenge on automated machine learning.

The title of Marius’ talk is “Automated Algorithm Selection: Predict which algorithm to use!” 

Abstract: To achieve state-of-the-art performance, it is often crucial to select a suitable algorithm for a given problem instance. For example, what is the best search algorithm for a given instance of a search problem; or what is the best machine learning algorithm for a given dataset? By trying out many different algorithms on many problem instances, developers learn an intuitive mapping from some characteristics of a given problem instance (e.g., the number of features of a dataset) to a well-performing algorithm (e.g., random forest). The goal of automated algorithm selection is to learn from data, how to automatically select a well-performing algorithm given such characteristics. In this talk, I will give an overview of the key ideas behind algorithm selection and different approaches addressing this problem by using machine learning.