Eimer, Theresa

8 publications

AutoML 2025 Revisiting Learning Rate Control Micha Henheik, Theresa Eimer, Marius Lindauer

TMLR 2024 AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, 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

ICML 2023 Hyperparameters in Reinforcement Learning and How to Tune Them Theresa Eimer, Marius Lindauer, Roberta Raileanu

JAIR 2022 Automated Dynamic Algorithm Configuration Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter

JAIR 2022 Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

IJCAI 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer

ICML 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer