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Efficient Automated Deep Learning for Time Series Forecasting.

, , , , and . ECML/PKDD (3), volume 13715 of Lecture Notes in Computer Science, page 664-680. Springer, (2022)

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Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges, , , , , , , , , and 2 other author(s). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, (Mar 10, 2023)Funding Information: Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology, Grant/Award Number: BAYERN DIGITAL II; Bundesministerium für Bildung und Forschung, Grant/Award Number: 01IS18036A; Deutsche Forschungsgemeinschaft (Collaborative Research Center), Grant/Award Number: SFB 876‐A3; Federal Statistical Office of Germany; Research Center “Trustworthy Data Science and Security” Funding information Funding Information: The authors of this work take full responsibilities for its content. This work was supported by the Federal Statistical Office of Germany; the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876, A3; the Research Center “Trustworthy Data Science and Security”, one of the Research Alliance centers within the https://uaruhr.de ; the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A; and the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics‐Data‐Applications (ADA‐Center) within the framework of “BAYERN DIGITAL II.”.MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , and . WorkingPaper, (Dec 2, 2022)Searching in the Forest for Local Bayesian Optimization., and . Meta-Knowledge Transfer @ ECML/PKDD, volume 191 of Proceedings of Machine Learning Research, page 38-50. PMLR, (2022)Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach., and . CoRR, (2024)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization., , , , , , , , and . J. Mach. Learn. Res., (2022)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks, , , , , , , , , and 1 other author(s). WorkingPaper, (Jun 13, 2023)Squirrel: A Switching Hyperparameter Optimizer, , , , , , , , , and 2 other author(s). arxiv, (December 2020)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization, , , , , , , and . ArXiv: 2109.09831, (2021)MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , and . Transactions on Machine Learning Research, (Apr 18, 2023)Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization., , , , , , , , , and . CoRR, (2021)