[20] DiCiccio, Thomas J and Bradley Efron. Bootstrap confidence intervals. Statistical science, pages 189-212, 1996.
[21] Dietterich, Thomas G. Approximate statistical tests for comparing supervised classification learning algorithms. Neural computation, 10(7):1895-1923, 1998.
[22] Do, Virginie, Sam Corbett-Davies, Jamal Atif, and Nicolas Usunier. Online certification of preference-based fairness for personalized recommender systems. arXiv preprint arXiv:2104.14527, 2021.
[23] Edwards, Adrian GK, Gurudutt Naik, Harry Ahmed, Glyn J Elwyn, Timothy Pickles, Kerry Hood, and Rebecca Playle. Personalised risk communication for informed decision making about taking screening tests. Cochrane database of systematic reviews, Cochrane database of systematic reviews(2), 2013.
[24] Eliaz, Kfir and Ran Spiegler. On incentive-compatible estimators. Games and Economic Behavior, 132: 204-220, 2022.
[25] Elmachtoub, Adam N, Vishal Gupta, and Michael Hamilton. The value of personalized pricing. Available at SSRN 3127719, 2018.
[26] European Parliament and of the Council. Regulation 2016/679 of the european parliament and of the council of 27 april 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing directive 95/46/ec (general data protection regulation), 2016. URL https://eur-lex.europa.eu/eli/reg/2016/679/oj. Official Journal of the European Union.
[27] Fan, Haiyan and Marshall Scott Poole. What is personalization? perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3-4):179-202, 2006.
[28] Globus-Harris, Ira, Michael Kearns, and Aaron Roth. An algorithmic framework for bias bounties. 2022 ACM Conference on Fairness, Accountability, and Transparency, Jun 2022. doi: 10.1145/3531146.3533172. URL http://dx.doi.org/10.1145/3531146.3533172.
[29] Haukoos, Jason S, Michael S Lyons, Christopher J Lindsell, Emily Hopkins, Brooke Bender, Richard E Rothman, Yu-Hsiang Hsieh, Lynsay A MacLaren, Mark W Thrun, Comilla Sasson, et al. Derivation and validation of the denver human immunodeficiency virus (hiv) risk score for targeted hiv screening. American journal of epidemiology, 175(8):838-846, 2012.
[30] Hébert-Johnson, Ursula, Michael Kim, Omer Reingold, and Guy Rothblum. Multicalibration: Calibration for the (computationally-identifiable) masses. In Proceedings of the International Conference on Machine Learning, pages 1944–1953, 2018.
[31] Hollenberg, SM. Cardiogenic shock. In Intensive Care Medicine, pages 447-458. Springer, 2003.
[32] Johnson, Alistair EW, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. Mimic-iii, a freely accessible critical care database. Scientific data, 3(1):1-9, 2016.
[33] Kaminski, Margot E. The right to explanation, explained. Berkeley Tech. LJ, 34:189, 2019.
[34] Kearns, Michael, Seth Neel, Aaron Roth, and Zhiwei Steven Wu. Preventing fairness gerrymandering: Auditing and learning for subgroup fairness. In International Conference on Machine Learning, pages 2564-2572, 2018.
[35] Kessler, Ronald C, Lenard Adler, Minnie Ames, Olga Demler, Steve Faraone, EVA Hiripi, Mary J Howes, Robert Jin, Kristina Secnik, Thomas Spencer, et al. The world health organization adult ADHD self-report scale (asrs): a short screening scale for use in the general population. Psychological medicine, 35(2): 245-256, 2005.
[36] Kim, Michael P, Aleksandra Korolova, Guy N Rothblum, and Gal Yona. Preference-informed fairness. arXiv preprint arXiv:1904.01793, 2019.
[37] Le Gall, Jean-Roger, Stanley Lemeshow, and Fabienne Saulnier. A new simplified acute physiology score (saps ii) based on a european/north american multicenter study. Jama, 270(24):2957-2963, 1993.
[38] Lim, Michael and Trevor Hastie. Learning interactions via hierarchical group-lasso regularization. Journal of Computational and Graphical Statistics, 24(3):627–654, 2015.
[39] Lundberg, Ian, Arvind Narayanan, Karen Levy, and Matthew J Salganik. Privacy, ethics, and data access: A case study of the fragile families challenge. *Socius*, 5:2378023118813023, 2019.
[40] OECD. Recommendation of the council concerning guidelines governing the protection of privacy and transborder flows of personal data, 2013. URL https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0188.
[41] Ortlieb, Martin and Ryan Garner. Sensitivity of personal data items in different online contexts. it-Information Technology, 58(5):217-228, 2016.