Benjamins, Carolin

7 publications

NeurIPSW 2024 Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes Carolin Benjamins, Shikha Surana, Oliver Bent, Marius Lindauer, Paul Duckworth

AutoML 2023 AutoRL Hyperparameter Landscapes Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer

TMLR 2023 Contextualize Me – The Case for Context in Reinforcement Learning Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

TMLR 2023 POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer

AutoML 2023 Self-Adjusting Weighted Expected Improvement for Bayesian Optimization Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer

MLOSS 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter

NeurIPSW 2022 Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr