Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments

Qing Feng, Samuel Daulton, Benjamin Letham, Maximilian Balandat, Eytan Bakshy. Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments. In Yizhou Sun, Flavio Chierichetti, Hady W. Lauw, Claudia Perlich, Wee Hyong Tok, Andrew Tomkins, editors, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025. pages 2235-2246, ACM, 2025. [doi]

Abstract

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