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AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

, , , , , , , , , , und . WorkingPaper, (13.06.2023)
DOI: 10.48550/arXiv.2306.08107

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MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , und . WorkingPaper, (02.12.2022)Searching in the Forest for Local Bayesian Optimization., und . Meta-Knowledge Transfer @ ECML/PKDD, Volume 191 von Proceedings of Machine Learning Research, Seite 38-50. PMLR, (2022)Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges, , , , , , , , , und 2 andere Autor(en). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, (10.03.2023)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.”.Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach., und . CoRR, (2024)Squirrel: A Switching Hyperparameter Optimizer, , , , , , , , , и 2 other автор(ы). arxiv, (декабря 2020)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks, , , , , , , , , и 1 other автор(ы). WorkingPaper, (13.06.2023)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization., , , , , , , , и . J. Mach. Learn. Res., (2022)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization, , , , , , , и . ArXiv: 2109.09831, (2021)MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , и . Transactions on Machine Learning Research, (18.04.2023)Squirrel: A Switching Hyperparameter Optimizer., , , , , , , , , и 2 other автор(ы). CoRR, (2020)