Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Liu et al. "Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I12.29313

[Liu et al. "Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/liu2024aaai-effect/) doi:10.1609/AAAI.V38I12.29313

@inproceedings{liu2024aaai-effect,
  title     = {{Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches}},
  author    = {Liu, Yu and Wan, Runzhe and McQueen, James and Hains, Doug and Gu, Jinxiang and Song, Rui},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {14044-14051},
  doi       = {10.1609/AAAI.V38I12.29313},
  url       = {https://mlanthology.org/aaai/2024/liu2024aaai-effect/}
}