Offered by Thomas Kesselheim

In this lab, we will be implement algorithms for optimization under uncertainty and evaluate their performance. In particular, the question is to what extent the derived theoretical guarantees are tight and if algorithms that perform better in theory also do so in experiments.

If you are interested in the lab, please contact Thomas Kesselheim by April 7.

It is also possible (but not necessary) to combine this lab with the seminar.