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Disambiguation of "Lindauer, Marius"

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DACBench: A Benchmark Library for Dynamic Algorithm Configuration

, , , , , and . Proceedings of the international joint conference on artificial intelligence (IJCAI), (August 2021)To appear..

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Erich Lindauer

Andreas Lindauer

Tanja Lindauer

Gerhard Lindauer

Klaus Lindauer

 

Other publications of authors with the same name

Warmstarting of Model-based Algorithm Configuration., and . CoRR, (2017)Developing Open Source Educational Resources for Machine Learning and Data Science., , , , , , and . Teaching ML, volume 207 of Proceedings of Machine Learning Research, page 1-6. PMLR, (2022)TempoRL: Learning When to Act., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 914-924. PMLR, (2021)Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL, , and . arxiv:2006.13799cs.LG, (June 2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning, , and . EWRL 2023 Workshop, (Jul 19, 2023)Green-AutoML for Plastic Litter Detection, , , and . Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning, (April 2023)We thank Wolf et al. (2020) for the insights, and access to the data and the system. Marius Lindauer was supported by the German Federal Ministry of the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (GreenAutoML4FAS project no. 67KI32007A). The DFKI Niedersachsen (DFKI NI) is funded in the ”zukunft.niedersachsen” by the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation (funding no. ZM3480)..Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332)., , , , and . Dagstuhl Reports, 13 (8): 46-70 (2023)Automated Dynamic Algorithm Configuration., , , , , , and . J. Artif. Intell. Res., (2022)POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning, , , , and . Arxiv Preprint, (2022)