1. Adams, R., Ji, Y., Wang, X., Saria, S.: Learning models from data with measurement error: tackling underreporting. arXiv:1901.09060 (2019)
2. Athey, S., Imbens, G.: Recursive partitioning for heterogeneous causal effects. Proc. Nat. Acad. Sci. 113, 7353–7360 (2016)
3. Bang, H., Robins, J.: Doubly robust estimation in missing data and causal inference models. Biometrics 61, 962–973 (2005)
4. Belsley, D.A., Kuh, E., Welsch, R.E.: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, vol. 571. John Wiley & Sons, Hoboken (2005)
5. Chouldechova, A., Benavides-Prado, D., Fialko, O., Vaithianathan. R.: A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. In: Proceedings of the 1st Conference on Fairness, Accountability and Transparency, volume 81 of Proceedings of Machine Learning Research, pp. 134–148. PMLR (2018)