ELLIS Delft Research theme - Optimization & Computational techniques
Topics: Optimization Algorithm, Inverse Optimization, Stochastic Systems
We study how optimisation has a role in machine learning, and how machine learning has a role in optimisation. Specific topics are inverse optimisation, use of ML in search techniques such as branch-and-bound, and stochastic systems; together with computational aspects for efficient ML, such as low-rank approximation.
Theme Coordinator
Neil Yorke-Smith
Data-driven optimisation, Agent-based modelling, Reinforcement learningm social simulation