Corpus ID: 207870397

Privacy-Preserving Causal Inference via Inverse Probability Weighting.

@article{Lee2019PrivacyPreservingCI,
  title={Privacy-Preserving Causal Inference via Inverse Probability Weighting.},
  author={Si Kai Lee and Luigi Gresele and Mijung Park and Krikamol Muandet},
  journal={arXiv: Learning},
  year={2019}
}
  • Si Kai Lee, Luigi Gresele, +1 author Krikamol Muandet
  • Published 2019
  • Mathematics, Computer Science
  • arXiv: Learning
  • The use of inverse probability weighting (IPW) methods to estimate the causal effect of treatments from observational studies is widespread in econometrics, medicine and social sciences. Although these studies often involve sensitive information, thus far there has been no work on privacy-preserving IPW methods. We address this by providing a novel framework for privacy-preserving IPW (PP-IPW) methods. We include a theoretical analysis of the effects of our proposed privatisation procedure on… CONTINUE READING

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