3rd EURO PhD School on Data Science meets Combinatorial Optimization

Machine learning (ML) and data science (DS) methods have been at the forefront of multiple recent developments in Operations Research (OR). On the one hand, ML/DS methods have been harnessed for handling uncertainty and automatically creating exac and heuristic solving procedures. On the other, (discrete) optimization approaches have been used to enhance ML, especially deep neural network, approaches. Advancing these two fields poses challenges due to the breadth of knowledge required in both the fields of OR and ML/DS. The aim of this PhD school is to provide PhD students with the latest work on these two rapidly advancing fields through hands-on tutorials from leading experts, thus positioning them on the forefront of these rapidly advancing fields.

The following subjects will be covered:

Automated heuristic discovery, Decision-focused learning, ML: Trustworthy AI and Explainability for OR, Verifying and Reducing Neural Networks

Lecturers and further details are to be announced.