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Multiple Randomization Designs., , , , , , и . CoRR, (2021)Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring., , , , и . KDD, стр. 5016-5027. ACM, (2023)Nearly Isometric Embedding by Relaxation., , и . NIPS, стр. 2631-2639. (2016)megaman: Manifold Learning with Millions of points., , , и . CoRR, (2016)Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches., , , , , и . CoRR, (2023)Bayesian Sample Size Prediction for Online Activity., , , и . CoRR, (2021)Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches., , , , , и . AAAI, стр. 14044-14051. AAAI Press, (2024)Estimating the Value of Evidence-Based Decision Making., , , , , и . CoRR, (2023)A Bayesian Model for Online Activity Sample Sizes., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 1775-1785. PMLR, (2022)Megaman: Scalable Manifold Learning in Python., , , и . J. Mach. Learn. Res., (2016)