Carolin Benjamins

21 papers A 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. J. Data-centric Mach. Learn. Res. Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
2025	A	`conf`	SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration. GECCO Valentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hüllermeier, Marius Lindauer
2025	J	`jnl`	carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks. CoRR Carolin Benjamins, Helena Graf, Sarah Segel, Difan Deng, Tim Ruhkopf, Leona Hennig, Soham Basu, Neeratyoy Mallik, Edward Bergman, Deyao Chen, François Clément, Matthias Feurer, Katharina Eggensperger, Frank Hutter, Carola Doerr, Marius Lindauer
2024	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer
2024	—	`conf`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2024	J	`jnl`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2023	—	`conf`	AutoRL Hyperparameter Landscapes. AutoML Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
2023	J	`jnl`	AutoRL Hyperparameter Landscapes. CoRR Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
2023	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2023	J	`jnl`	POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. Trans. Mach. Learn. Res. Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
2023	—	`conf`	Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. AutoML Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
2023	J	`jnl`	Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. CoRR Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
2023	—	`conf`	Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. GECCO Companion Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
2022	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. CoRR Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2022	J	`jnl`	Hyperparameters in Contextual RL are Highly Situational. CoRR Theresa Eimer, Carolin Benjamins, Marius Lindauer
2022	J	`jnl`	PI is back! Switching Acquisition Functions in Bayesian Optimization. CoRR Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr
2022	J	`jnl`	POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. CoRR Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
2022	J	`jnl`	SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. J. Mach. Learn. Res. Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter
2022	J	`jnl`	Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. CoRR Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr
2021	J	`jnl`	CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. CoRR Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2021	J	`jnl`	SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. CoRR Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter