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Position Paper: A Call to Action for a Human-Centered AutoML Paradigm, , , , , , , , and . Proceedings of the international conference on machine learning (ICML), (2024)Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters., , , , and . CoRR, (2019)Towards Automatically-Tuned Deep Neural Networks., , , , , , , , and . Automated Machine Learning, Springer, (2019)Position: A Call to Action for a Human-Centered AutoML Paradigm., , , , , , , , and . CoRR, (2024)CAPO: Cost-Aware Prompt Optimization., , , and . CoRR, (April 2025)AMLTK: A Modular AutoML Toolkit in Python, , , , , , , and . The Journal of Open Source Software, (Aug 14, 2024)promptolution: A Unified, Modular Framework for Prompt Optimization., , , , and . CoRR, (December 2025)Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML., , , , , , , , , and . CoRR, (2023)PFNs Are Flexible Models for Real-World Bayesian Optimization., , , and . CoRR, (2023)Interpretable Machine Learning for TabPFN., , , , , and . xAI (2), volume 2154 of Communications in Computer and Information Science, page 465-476. Springer, (2024)