Organisation placeholder image, no image found

Machine Learning Section

Organisational unit: Research Group

View graph of relations

Publications

  1. 2024
  2. Published

    Hyperparameter Importance Analysis for Multi-Objective AutoML

    Theodorakopoulos, D., Stahl, F. & Lindauer, M., 13 May 2024.

    Research output: Working paper/PreprintPreprint

  3. E-pub ahead of print

    Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

    Hennig, L., Tornede, T. & Lindauer, M., 2 Apr 2024, (E-pub ahead of print) 5th Workshop on practical ML for limited/low resource settings.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  4. Accepted/In press

    auto-sktime: Automated Time Series Forecasting

    Zöller, M., Lindauer, M. & Huber, M., Apr 2024, (Accepted/In press) Proceedings of the 18TH Learning and Intelligent Optimization Conference (LION).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  5. Published

    Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

    Giovanelli, J., Tornede, A., Tornede, T. & Lindauer, M., 24 Mar 2024, Proceedings of the 38th conference on AAAI. p. 12172-12180 (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  6. Accepted/In press

    Structure in Deep Reinforcement Learning: A Survey and Open Problems

    Mohan, A., Zhang, A. & Lindauer, M., 20 Jan 2024, (Accepted/In press) In: Journal of Artificial Intelligence Research.

    Research output: Contribution to journalArticleResearchpeer review

  7. Published

    Position Paper: A Call to Action for a Human-Centered AutoML Paradigm

    Lindauer, M., Karl, F., Klier, A., Moosbauer, J., Tornede, A., Müller, A., Hutter, F., Feurer, M. & Bischl, B., 2024, Proceedings of the international conference on machine learning.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  8. 2023
  9. Published

    AutoML: advanced tool for mining multivariate plant traits

    Shoaib, M., Kotthoff, L., Lindauer, M. & Kant, S., Dec 2023, In: Trends in Plant Science. 28, 12, p. 1451-1452 2 p.

    Research output: Contribution to journalArticleResearchpeer review

  10. E-pub ahead of print

    AutoML in Heavily Constrained Applications

    Neutatz, F., Lindauer, M. & Abedjan, Z., 17 Nov 2023, (E-pub ahead of print) In: VLDB Journal.

    Research output: Contribution to journalArticleResearchpeer review

  11. Accepted/In press

    A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning

    Mohan, A., Zhang, A. & Lindauer, M., 17 Sept 2023, (Accepted/In press) The 16th European Workshop on Reinforcement Learning (EWRL 2023).

    Research output: Chapter in book/report/conference proceedingConference abstractResearchpeer review

  12. Accepted/In press

    Extended Abstract: AutoRL Hyperparameter Landscapes

    Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 15 Sept 2023, (Accepted/In press) The 16th European Workshop on Reinforcement Learning (EWRL 2023).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  13. E-pub ahead of print

    PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

    Mallik, N., Bergman, E., Hvarfner, C., Stoll, D., Janowski, M., Lindauer, M., Nardi, L. & Hutter, F., Sept 2023, (E-pub ahead of print) Proceedings of the international Conference on Neural Information Processing Systems (NeurIPS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  14. Published

    Hyperparameters in Reinforcement Learning and How to Tune Them

    Eimer, T., Lindauer, M. & Raileanu, R., 23 Jul 2023, ICML'23: Proceedings of the 40th International Conference on Machine Learning. p. 9104–9149 366

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  15. E-pub ahead of print

    AutoRL Hyperparameter Landscapes

    Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 20 Jul 2023, (E-pub ahead of print) Second International Conference on Automated Machine Learning.

    Research output: Chapter in book/report/conference proceedingConference contributionResearch

  16. Published

    Configuration and Evaluation

    Hanselle, J., Hüllermeier, E., Mohr, F., Ngomo, A. C. N., Sherif, M. A., Tornede, A. & Wever, M., 22 Jun 2023, On-The-Fly Computing -- Individualized IT-services in dynamic markets.

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearch

  17. E-pub ahead of print

    Contextualize Me – The Case for Context in Reinforcement Learning

    Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Jun 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research. 2023, 6

    Research output: Contribution to journalArticleResearchpeer review

  18. Accepted/In press

    Learning Activation Functions for Sparse Neural Networks

    Loni, M., Mohan, A., Asadi, M. & Lindauer, M., 16 May 2023, (Accepted/In press) Second International Conference on Automated Machine Learning.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  19. E-pub ahead of print

    Symbolic Explanations for Hyperparameter Optimization

    Segel, S., Graf, H., Tornede, A., Bischl, B. & Lindauer, M., 16 May 2023, (E-pub ahead of print) AutoML Conference 2023.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  20. E-pub ahead of print

    MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information

    Ruhkopf, T., Mohan, A., Deng, D., Tornede, A., Hutter, F. & Lindauer, M., 18 Apr 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research.

    Research output: Contribution to journalArticleResearchpeer review

  21. Published

    Green-AutoML for Plastic Litter Detection

    Theodorakopoulos, D., Manß, C., Stahl, F. & Lindauer, M., Apr 2023, Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. 7 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  22. Published

    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

    Schubert, F., Benjamins, C., Döhler, S., Rosenhahn, B. & Lindauer, M., Apr 2023, In: Transactions on Machine Learning Research. 2023, 4

    Research output: Contribution to journalArticleResearchpeer review

Previous 1 2 3 4 Next