Toward Fair and Robust Optimal Treatment Regimes

Abstract

We propose a new framework for robust nonparametric estimation of optimal treatment regimes under flexible fairness constraints. Under standard regularity conditions we show that the resulting estimators possess the double robustness property. We use this framework to characterize the trade-off between fairness and the maximum welfare that is achievable by the optimal treatment policy.

PDF NeurIPSW OpenReview Semantic Scholar

Cite

Text

Kim and Zubizarreta. "Toward Fair and Robust Optimal Treatment Regimes." NeurIPS 2022 Workshops: CML4Impact, 2022.

Markdown

[Kim and Zubizarreta. "Toward Fair and Robust Optimal Treatment Regimes." NeurIPS 2022 Workshops: CML4Impact, 2022.](https://mlanthology.org/neuripsw/2022/kim2022neuripsw-fair/)

BibTeX

@inproceedings{kim2022neuripsw-fair,
  title     = {{Toward Fair and Robust Optimal Treatment Regimes}},
  author    = {Kim, Kwangho and Zubizarreta, Jose R},
  booktitle = {NeurIPS 2022 Workshops: CML4Impact},
  year      = {2022},
  url       = {https://mlanthology.org/neuripsw/2022/kim2022neuripsw-fair/}
}