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Alexandra Chouldechova
Alexandra Chouldechova
Associate Professor of Statistics & Public Policy @ Heinz College, Carnegie Mellon University
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
A Chouldechova
Big data 5 (2), 153-163, 2017
21772017
The frontiers of fairness in machine learning
A Chouldechova, A Roth
arXiv preprint arXiv:1810.08810, 2018
4312018
Bias in bios: A case study of semantic representation bias in a high-stakes setting
M De-Arteaga, A Romanov, H Wallach, J Chayes, C Borgs, ...
proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019
3962019
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
A Chouldechova, D Benavides-Prado, O Fialko, R Vaithianathan
Conference on Fairness, Accountability and Transparency, 134-148, 2018
3742018
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth
Communications of the ACM 63 (5), 82-89, 2020
3452020
Does mitigating ML's impact disparity require treatment disparity?
Z Lipton, J McAuley, A Chouldechova
Advances in neural information processing systems 31, 2018
2312018
Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services
A Brown, A Chouldechova, E Putnam-Hornstein, A Tobin, ...
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
2072019
A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores
M De-Arteaga, R Fogliato, A Chouldechova
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
1832020
Sequential selection procedures and false discovery rate control
MG G'Sell, S Wager, A Chouldechova, R Tibshirani
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016
1632016
Counterfactual risk assessments, evaluation, and fairness
A Coston, A Mishler, EH Kennedy, A Chouldechova
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
1232020
Generalized additive model selection
A Chouldechova, T Hastie
arXiv preprint arXiv:1506.03850, 2015
1072015
Early stem cell engraftment predicts late cardiac functional recovery: preclinical insights from molecular imaging
J Liu, KH Narsinh, F Lan, L Wang, PK Nguyen, S Hu, A Lee, L Han, ...
Circulation: Cardiovascular Imaging 5 (4), 481-490, 2012
762012
What's in a name? Reducing bias in bios without access to protected attributes
A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ...
arXiv preprint arXiv:1904.05233, 2019
742019
Leveraging administrative data for bias audits: Assessing disparate coverage with mobility data for COVID-19 policy
A Coston, N Guha, D Ouyang, L Lu, A Chouldechova, DE Ho
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
722021
Fairer and more accurate, but for whom?
A Chouldechova, M G'Sell
arXiv preprint arXiv:1707.00046, 2017
702017
Characterizing fairness over the set of good models under selective labels
A Coston, A Rambachan, A Chouldechova
International Conference on Machine Learning, 2144-2155, 2021
642021
Fairness evaluation in presence of biased noisy labels
R Fogliato, A Chouldechova, M G’Sell
International conference on artificial intelligence and statistics, 2325-2336, 2020
642020
Fairness in risk assessment instruments: Post-processing to achieve counterfactual equalized odds
A Mishler, EH Kennedy, A Chouldechova
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
632021
Soliciting stakeholders’ fairness notions in child maltreatment predictive systems
HF Cheng, L Stapleton, R Wang, P Bullock, A Chouldechova, ZSS Wu, ...
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
572021
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
arXiv preprint arXiv:1807.00905, 2018
392018
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