Alexandra Chouldechova
Alexandra Chouldechova
Assistant 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
10512017
The frontiers of fairness in machine learning
A Chouldechova, A Roth
arXiv preprint arXiv:1810.08810, 2018
1942018
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
1402018
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
1262016
Does mitigating ML's impact disparity require treatment disparity?
ZC Lipton, A Chouldechova, J McAuley
Proceedings of the 32nd International Conference on Neural Information …, 2018
119*2018
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
1022019
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth
Communications of the ACM 63 (5), 82-89, 2020
762020
Generalized additive model selection
A Chouldechova, T Hastie
arXiv preprint arXiv:1506.03850, 2015
742015
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
692012
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
622019
Fairer and more accurate, but for whom?
A Chouldechova, M G'Sell
arXiv preprint arXiv:1707.00046, 2017
392017
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
352020
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
312019
Counterfactual risk assessments, evaluation, and fairness
A Coston, A Mishler, EH Kennedy, A Chouldechova
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
212020
Putting image manipulations in context: robustness testing for safe perception
Z Pezzementi, T Tabor, S Yim, JK Chang, B Drozd, D Guttendorf, ...
2018 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2018
172018
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
arXiv preprint arXiv:1807.00905, 2018
172018
False discovery rate control for spatial data
A Chouldechova
PQDT-Global, 2014
142014
Sequential selection procedures and false discovery rate control
M Grazier G'Sell, S Wager, A Chouldechova, R Tibshirani
arXiv e-prints, arXiv: 1309.5352, 2013
132013
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
112020
Differences in search engine evaluations between query owners and non-owners
A Chouldechova, D Mease
Proceedings of the sixth ACM international conference on Web search and data …, 2013
92013
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