41 - 60 out of 92Page size: 20
Publications
- 2022
- 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
- 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
- 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. DE202010212108Research output: Patent
- 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
- Published
METHOD AND DEVICE FOR LEARNING A STRATEGY AND FOR IMPLEMENTING THE STRATEGY
Adriaenssen, S., Biedenkapp, A., Hutter, F., Shala, G., Lindauer, M. & Awad, N., 27 Jan 2022, IPC No. G06N 3/ 12 A I, Patent No. US2022027743, Priority date 23 Jul 2020, Priority No. DE202010209281Research output: Patent
- Published
Verfahren und Vorrichtung zum Lernen einer Strategie und Betreiben der Strategie
Adriaenssen, S., Biedenkapp, A., Hutter, F., Shala, G., Lindauer, M. & Awad, N., 27 Jan 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102020209281, Priority date 23 Jul 2020, Priority No. DE202010209281Research output: Patent
- Published
METHOD AND DEVICE FOR CREATING A SYSTEM FOR THE AUTOMATED CREATION OF MACHINE LEARNING SYSTEMS
Lindauer, M., Zela, A., Stoll, D. O., Ferreira, F., Hutter, F. & Nierhoff, T., 13 Jan 2022, IPC No. G06N 20/ 00 A I, Patent No. US2022012636, Priority date 10 Jul 2020, Priority No. DE202010208671Research output: Patent
- Published
Verfahren und Vorrichtung zum Erstellen eines Systems zum automatisierten Erstellen von maschinellen Lernsystemen
Lindauer, M., Zela, A., Stoll, D., Ferreira, F., Hutter, F. & Nierhoff, T., 13 Jan 2022, IPC No. G06V 30/ 19 A I, Patent No. DE102020208671, Priority date 10 Jul 2020, Priority No. DE202010208671Research output: Patent
- 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
- 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
- Published
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
Fehring, L., Hanselle, J. & Tornede, A., 2022, NeurIPS Workshop on Meta Learning (MetaLearn 2022).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 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
- 2021
- Published
DEVICE AND METHOD FOR PLANNING AN OPERATION OF A TECHNICAL SYSTEM
Spitz, J., Biedenkapp, A., Speck, D., Hutter, F., Lindauer, M. & Mattmueller, R., 9 Dec 2021, IPC No. G06N 5/ 00 A I, Patent No. US2021383245, Priority date 5 Jun 2020, Priority No. EP20200178576Research output: Patent
- Published
Vorrichtung und Verfahren zur Planung eines Betriebs eines technischen Systems
Spitz, J., Biedenkapp, A., Speck, D., Hutter, F., Lindauer, M. & Mattmueller, R., 9 Dec 2021, IPC No. G06Q 50/ 04 A I, Patent No. DE102020207114, Priority date 5 Jun 2020, Priority No. DE202010207114Research output: Patent
- E-pub ahead of print
Explaining Hyperparameter Optimization via Partial Dependence Plots
Moosbauer, J., Herbinger, J., Casalicchio, G., Lindauer, M. & Bischl, B., 8 Nov 2021, (E-pub ahead of print) Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) . 21 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- E-pub ahead of print
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
Benjamins, C., Eimer, T., Schubert, F., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Oct 2021, (E-pub ahead of print) Workshop on Ecological Theory of Reinforcement Learning, NeurIPS 2021. 20 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Auto-PyTorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
Zimmer, L., Lindauer, M. & Hutter, F., 1 Sept 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 9, p. 3079-3090 12 p., 9382913.Research output: Contribution to journal › Article › Research › peer review
- Published
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
Liu, Z., Pavao, A., Xu, Z., Escalera, S., Ferreira, F., Guyon, I., Hong, S., Hutter, F., Ji, R., Junior, J. C. S. J., Li, G., Lindauer, M., Luo, Z., Madadi, M., Nierhoff, T., Niu, K., Pan, C., Stoll, D., Treguer, S., Wang, J., Wang, P., Wu, C., Xiong, Y., Zela, A. & Zhang, Y., 1 Sept 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 9, p. 3108-3125 18 p., 9415128.Research output: Contribution to journal › Article › Research › peer review
- E-pub ahead of print
Automatic Risk Adaptation in Distributional Reinforcement Learning
Schubert, F., Eimer, T., Rosenhahn, B. & Lindauer, M., 11 Jun 2021, (E-pub ahead of print) 14 p.Research output: Working paper/Preprint › Preprint
- Published
Verfahren, Vorrichtung und Computerprogramm zum Erstellen eines künstlichen neuronalen Netzes
Lindauer, M., Hutter, F., Burkart, M. & Zimmer, L., 25 Mar 2021, IPC No. G06N 3/ 08 A I, Patent No. DE102019214625, Priority date 25 Sept 2019, Priority No. DE201910214625Research output: Patent