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Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis., , , , and . ACML, volume 129 of Proceedings of Machine Learning Research, page 737-752. PMLR, (2020)Configuration and Evaluation, , , , , , and . (Jun 22, 2023)MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , and . Transactions on Machine Learning Research, (Apr 18, 2023)Extreme Algorithm Selection with Dyadic Feature Representation., , and . DS, volume 12323 of Lecture Notes in Computer Science, page 309-324. Springer, (2020)Hybrid Ranking and Regression for Algorithm Selection., , , and . KI, volume 12325 of Lecture Notes in Computer Science, page 59-72. Springer, (2020)MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , and . WorkingPaper, (Dec 2, 2022)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks, , , , , , , , , and 1 other author(s). Transactions on Machine Learning Research, (Feb 9, 2024)Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , and . J. Artif. Intell. Res., (2023)Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 152-163. Springer, (2021)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks., , , , , , , , , and 1 other author(s). CoRR, (2023)