Research
Research Interests
Robust Surrogates in Bayesian Optimization
Hyperparamter-Tuning
Superset Learning/Inference
Weak Supervision
(Causal Inference)
Publications
- Julian Rodemann, Thomas Augustin (2022): Accounting for Gaussian Process Imprecision in Bayesian Optimization. In: Proceedings of the Ninth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM). Ishikawa, Japan. Lecture Notes on Artificial Intelligence, Springer.
Talks
- Julian Rodemann, Thomas Augustin (2022): Towards Prior-Mean-Robust Bayesian Optimization. DAGStat - Sixth Joint Statistical Meeting. Hamburg, Germany. (Abstract)
- Julian Rodemann, Thomas Augustin (2022): A Deep Dive Into BO Sensitivity and PROBO. Young Statistician's Lecture Series (YSLS). IBS Early Career Working Group, Germany.
- Julian Rodemann, Dominik Kreiss, Thomas Augustin, Eyke Hüllermeier (2022): Work In Progress: Levelwise Data Disambiguation by Cautious Superset Classification. Annual Summer Retreat, Department of Statistics.