Profile information

Prof. Dr.  Marius Thomas Lindauer

https://orcid.org/0000-0002-9675-3175
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Publications

  1. 2022
  2. E-pub ahead of print

    PI is back! Switching Acquisition Functions in Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Blom, K. V. D., Santoni, M. L., Lindauer, M. & Doerr, C., 2 Nov 2022, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  3. Published

    Verfahren und Vorrichtung zum Ermitteln von Netzkonfigurationen eines neuronalen Netzes unter Erfüllung einer Mehrzahl von Nebenbedingungen

    Hutter, F. (Inventor), Miotto, G. (Inventor), Lindauer, M. (Inventor) & Elsken, T. (Inventor), 20 Oct 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102021109754, Priority date 19 Apr 2021, Priority No. DE202110109754

    Research output: Patent

  4. E-pub ahead of print

    Developing Open Source Educational Resources for Machine Learning and Data Science

    Bothmann, L., Strickroth, S., Casalicchio, G., Rügamer, D., Lindauer, M., Scheipl, F. & Bischl, B., 28 Jul 2022, (E-pub ahead of print) Teaching Machine Learning Workshop at ECML 2022. 6 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  5. E-pub ahead of print

    Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution

    Moosbauer, J., Casalicchio, G., Lindauer, M. & Bischl, B., 11 Jun 2022, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  6. E-pub ahead of print

    Towards Meta-learned Algorithm Selection using Implicit Fidelity Information

    Mohan, A., Ruhkopf, T. & Lindauer, M., 7 Jun 2022, (E-pub ahead of print) ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  7. Published

    Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

    Parker-Holder, J., Rajan, R., Song, X., Biedenkapp, A., Miao, Y., Eimer, T., Zhang, B., Nguyen, V., Calandra, R., Faust, A., Hutter, F. & Lindauer, M., 1 Jun 2022, In: Journal of Artificial Intelligence Research. 74, 74, p. 517-568 52 p.

    Research output: Contribution to journal › Article › Research › peer review

  8. Published

    Verfahren und Vorrichtung zum Anlernen eines maschinellen Lernsystems

    Hutter, F. (Inventor), Lindauer, M. (Inventor), Kadra, A. (Inventor) & Grabocka, J. (Inventor), 31 Mar 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102020212108, Priority date 25 Sept 2020, Priority No. DE202010212108

    Research output: Patent

  9. E-pub ahead of print

    Practitioner Motives to Select Hyperparameter Optimization Methods

    Hasebrook, N., Morsbach, F., Kannengießer, N., Zöller, M., Franke, J., Lindauer, M., Hutter, F. & Sunyaev, A., 3 Mar 2022, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  10. Published

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

    Lindauer, M., Eggensperger, K., Feurer, M., Biedenkapp, A., Deng, D., Benjamins, C., Sass, R. & Hutter, F., Feb 2022, In: Journal of Machine Learning Research. 2022, 23, 8 p.

    Research output: Contribution to journal › Article › Research › peer review

  11. Published

    METHOD AND DEVICE FOR LEARNING A STRATEGY AND FOR IMPLEMENTING THE STRATEGY

    Adriaenssen, S. (Inventor), Biedenkapp, A. (Inventor), Hutter, F. (Inventor), Shala, G. (Inventor), Lindauer, M. (Inventor) & Awad, N. (Inventor), 27 Jan 2022, IPC No. G06N 3/ 12 A I, Patent No. US2022027743, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

  12. Published

    Verfahren und Vorrichtung zum Lernen einer Strategie und Betreiben der Strategie

    Adriaenssen, S. (Inventor), Biedenkapp, A. (Inventor), Hutter, F. (Inventor), Shala, G. (Inventor), Lindauer, M. (Inventor) & Awad, N. (Inventor), 27 Jan 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102020209281, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

  13. Published

    METHOD AND DEVICE FOR CREATING A SYSTEM FOR THE AUTOMATED CREATION OF MACHINE LEARNING SYSTEMS

    Lindauer, M. (Inventor), Zela, A. (Inventor), Stoll, D. O. (Inventor), Ferreira, F. (Inventor), Hutter, F. (Inventor) & Nierhoff, T. (Inventor), 13 Jan 2022, IPC No. G06N 20/ 00 A I, Patent No. US2022012636, Priority date 10 Jul 2020, Priority No. DE202010208671

    Research output: Patent

  14. Published

    Verfahren und Vorrichtung zum Erstellen eines Systems zum automatisierten Erstellen von maschinellen Lernsystemen

    Lindauer, M. (Inventor), Zela, A. (Inventor), Stoll, D. (Inventor), Ferreira, F. (Inventor), Hutter, F. (Inventor) & Nierhoff, T. (Inventor), 13 Jan 2022, IPC No. G06V 30/ 19 A I, Patent No. DE102020208671, Priority date 10 Jul 2020, Priority No. DE202010208671

    Research output: Patent

  15. Published

    Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

    Feurer, M., Eggensperger, K., Falkner, S., Lindauer, M. T. & Hutter, F., 2022, In: Journal of Machine Learning Research. 23, 61 p.

    Research output: Contribution to journal › Conference article › Research › peer review

  16. Published

    Efficient Automated Deep Learning for Time Series Forecasting

    Deng, D., Karl, F., Hutter, F., Bischl, B. & Lindauer, M., 2022, Proceedings of the European Conference on Machine Learning (ECML).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  17. Published

    PriorBand: HyperBand + Human Expert Knowledge

    Mallik, N., Hvarfner, C., Stoll, D., Janowski, M., Bergman, E., Lindauer, M. T., Nardi, L. & Hutter, F., 2022, 2022 NeurIPS Workshop on Meta Learning (MetaLearn).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. E-pub ahead of print

    Searching in the Forest for Local Bayesian Optimization

    Deng, D. & Lindauer, M., 2022, (E-pub ahead of print) ECML/PKDD workshop on Meta-learning. 17 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  19. Published

    π BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

    Hvarfner, C., Stoll, D., Souza, A. L. F., Lindauer, M., Hutter, F. & Nardi, L., 2022, Proceedings of the International conference on Learning Representation (ICLR).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

  20. 2021
  21. Published

    DEVICE AND METHOD FOR PLANNING AN OPERATION OF A TECHNICAL SYSTEM

    Spitz, J. (Inventor), Biedenkapp, A. (Inventor), Speck, D. (Inventor), Hutter, F. (Inventor), Lindauer, M. (Inventor) & Mattmueller, R. (Inventor), 9 Dec 2021, IPC No. G06N 5/ 00 A I, Patent No. US2021383245, Priority date 5 Jun 2020, Priority No. EP20200178576

    Research output: Patent

  22. Published

    Vorrichtung und Verfahren zur Planung eines Betriebs eines technischen Systems

    Spitz, J. (Inventor), Biedenkapp, A. (Inventor), Speck, D. (Inventor), Hutter, F. (Inventor), Lindauer, M. (Inventor) & Mattmueller, R. (Inventor), 9 Dec 2021, IPC No. G06Q 50/ 04 A I, Patent No. DE102020207114, Priority date 5 Jun 2020, Priority No. DE202010207114

    Research output: Patent

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