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
7462017
The frontiers of fairness in machine learning
A Chouldechova, A Roth
arXiv preprint arXiv:1810.08810, 2018
1232018
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
1102016
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
1052018
Does mitigating ML's impact disparity require treatment disparity?
Z Lipton, J McAuley, A Chouldechova
Advances in neural information processing systems, 8125-8135, 2018
89*2018
Generalized additive model selection
A Chouldechova, T Hastie
arXiv preprint arXiv:1506.03850, 2015
632015
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
612012
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
552019
Fairer and more accurate, but for whom?
A Chouldechova, M G'Sell
arXiv preprint arXiv:1707.00046, 2017
332017
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth
Communications of the ACM 63 (5), 82-89, 2020
312020
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
29*2019
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
222019
Counterfactual risk assessments, evaluation, and fairness
A Coston, A Mishler, EH Kennedy, A Chouldechova
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
132020
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
arXiv preprint arXiv:1807.00905, 2018
132018
False discovery rate control for spatial data
A Chouldechova
PhD thesis, Stanford University, 2014
102014
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
82020
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
82013
False discovery rate control for sequential selection procedures, with application to the Lasso
MG G’Sell, S Wager, A Chouldechova, R Tibshirani
arXiv preprint arXiv:1309.5352, 2013
82013
Safety and outcomes of mobile ECMO using a bicaval dual-stage venous catheter
HD Kanji, A Chouldechova, C Harvey, E O’dea, G Faulkner, G Peek
Asaio Journal 63 (3), 351-355, 2017
62017
Recent advances in post-selection statistical inference
R Tibshirani, J Taylor, R Lockhart, R Tibshirani, W Fithian, J Lee, Y Sun, ...
Breiman lecture, NIPS, 2015
52015
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Articles 1–20