Master Students

1. April 2023, Jake Robertson, Fairness-Aware Multi-Objective Hyperparameter Optimization: FairMOHPO, Master project

2. March 2023 Florian Diederichs, Master thesis, On the Applicability of Offline Reinforcement Learning for Dynamic Algorithm Configuration of Differential Evolution. Patent. 

3. Dec 2022 Ayushi Sharma, Master project, Extending DEHB to Multi-objective optimizer. Paper

4. Oct 2022 Shuhei Watanabe, Master project, Multi-objective Tree-structured Parzen Estimator Meets Meta-learning. Workshop paper. Paper. Patent

5. Oct. 2021 Neeratyoy Mallik, Master thesis, HPOBench and DEHB: A new benchmark and a new optimizer for multi-fidelity optimization. DEHB paper, HPOBench paper

6. Spe. 2020 Neeratyoy Mallik, Master project, Differential evolution for neural architecture search, paper

7. July 2021 Rebekka Rupprecht Towards Automated Pipelines for FairPrediction Models

8. Aug 2020 Gresa Shala, Learning Step-Size Adaptation in CMA-ES. Paper, patent

9. June 2019 Lior Fucks, An Evolution Strategy with Progressive Episode Lengths for Playing Games. Paper, patent