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Is merging worth it? Securely evaluating the information gain for causal dataset acquisition

This codebase implements the experiments from "Is merging worth it? Securely evaluating the information gain for causal dataset acquisition" (AISTATS 2025).

  • To reproduce the experiments in Section 5.1, see illustrative_exp

  • To reproduce the experiments in Section 5.2, see ranking_exp

  • To reproduce the experiments in Section 5.3, see mpc_exp

Cite as

@inproceedings{fawkes2025merging,
  title={Is merging worth it? Securely evaluating the information gain for causal dataset acquisition},
  author={Fawkes, Jake and Ter-Minassian, Lucile and Ivanova, Desi R. and Shalit, Uri and Holmes, Chris},
  booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},
  organization={PMLR},
  year={2025}
}

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