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Institute of Artificial Intelligence

Organisational unit: Institute

Type of address: Visitor address.
Appelstraße 9a
30167
Hannover
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41 - 60 out of 113Page size: 20

Publications

  1. 2023
  2. E-pub ahead of print

    Extended Abstract: Hyperparameters in Reinforcement Learning and How To Tune Them

    Eimer, T., Lindauer, M. & Raileanu, R., 2023, (E-pub ahead of print) The 16th European Workshop on Reinforcement Learning (EWRL 2023).

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

  3. Published

    Frame-oriented Summarization of Argumentative Discussions

    Syed, S., Ziegenbein, T., Heinisch, P., Wachsmuth, H. & Potthast, M., 2023, Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. p. 114-129

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

  4. Published

    Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments

    Stahl, M., Düsterhus, N., Chen, M. & Wachsmuth, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. p. 4703-4717

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

  5. Published

    On-The-Fly Computing: Individualized IT-Services in dynamic markets

    Haake, C., Auf Der Heide, F. M., Platzner, M., Wachsmuth, H. & Wehrheim, H., 2023, Paderborn. (Verlagsschriftenreihe des Heinz Nixdorf Instituts; vol. 412)

    Research output: Book/Report › Anthology › Research › peer review

  6. Accepted/In press

    Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Doerr, C. & Lindauer, M., 2023, (Accepted/In press) AutoML Conference 2023.

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

  7. Published

    Topic Ontologies for Arguments

    Ajjour, Y., Kiesel, J., Stein, B. & Potthast, M., 2023, Findings of the Association for Computational Linguistics: EACL 2023. Kroatien, p. 1411–1427

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

  8. Published

    Topic Ontologies for Arguments

    Ajjour, Y., Stein, B., Kiesel, J. & Potthast, M., 2023, EACL 2023 : 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. p. 1381-1397 17 p.

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

  9. Accepted/In press

    Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Doerr, C. & Lindauer, M., 2023, (Accepted/In press) GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference Companion.

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

  10. 2022
  11. Published

    Automated Dynamic Algorithm Configuration

    Adriaensen, S., Biedenkapp, A., Shala, G., Awad, N., Eimer, T., Lindauer, M. & Hutter, F., Dec 2022, In: Journal of Artificial Intelligence Research. 75, p. 1633-1699 67 p.

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

  12. Published

    No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

    Spliethöver, M., Keiff, M. & Wachsmuth, H., Dec 2022, Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). p. 2081-2093 13 p.

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

  13. Published

    Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

    Benjamins, C., Jankovic, A., Raponi, E., Blom, K. V. D., Lindauer, M. & Doerr, C., 17 Nov 2022.

    Research output: Contribution to conference › Paper › Research › peer review

  14. 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

  15. Published

    To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation

    Stahl, M., Spliethöver, M. & Wachsmuth, H., Nov 2022, Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Abu Dhabi, United Arab Emirates, p. 39-51 13 p. (NLPCSS 2022 - 5th Workshop on Natural Language Processing and Computational Social Science ,NLP+CSS, Held at the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022).

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

  16. Published

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

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

    Research output: Patent

  17. 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

  18. 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

  19. 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

  20. 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

  21. Published

    Verfahren und Vorrichtung zum Anlernen eines maschinellen Lernsystems

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

    Research output: Patent

  22. 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

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