Alexandra Chouldechova

Author

Carnegie Mellon University ORCID

Also Known As

A. Chouldechova, Alexandra Chouldechova, Chouldechova, Alexandra, Liu, Ken, McAuley, Julian

Publications

2.3K

Citations

H-Index

107

Concepts

All Affiliations

Carnegie Mellon University Stanford University University of Southern California Microsoft (United States)Auckland University of Technology

About

Alexandra Chouldechova is an author at Carnegie Mellon University specializing in engineering, algorithmic fairness, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	1.2K
2	Health Sciences	3	3	398
3	Business	2	2	208
4	Education	1	1	13
5	Humanities	1	1	23

Alexandra Chouldechova

Publications

Citations

H-Index

Page 1

	Year	Citations
A snapshot of the frontiers of fairness in machine learning Alexandra Chouldechova, Aaron Roth Communications of the ACM Artificial IntelligenceEngineeringMachine LearningAlgorithmic AccountabilityFairness In Natural Language Processing	2020	332
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova, Aaron Roth arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceAlgorithmic Bias	2018	241
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions Alexandra Chouldechova, Diana Benavides‐Prado, O. Fialko, Family MedicineChild AbusePediatricsChild Maltreatment PreventionCase Study	2018	220
Toward Algorithmic Accountability in Public Services Anna Brown, Alexandra Chouldechova, Emily Putnam‐Hornstein, EngineeringAlgorithmic AccountabilityLawPolicy AnalysisChild Welfare Services	2019	189
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments Alexandra Chouldechova Big Data Forensic PsychologyRecidivism Prevalence DiffersLawCriminal LawRecidivism Prediction Instruments	2017	158
Sequential Selection Procedures and False Discovery Rate Control Max G’Sell, Stefan Wager, Alexandra Chouldechova, Journal of the Royal Statistical Society Series B (Statistical Methodology) Discovery TechniqueEngineeringData MiningRejection RuleKnowledge Discovery	2015	143
Hospital Injury Encounters of Children Identified by a Predictive Risk Model for Screening Child Maltreatment Referrals Rhema Vaithianathan, Emily Putnam‐Hornstein, Alexandra Chouldechova, JAMA Pediatrics	2020	86
Early Stem Cell Engraftment Predicts Late Cardiac Functional Recovery Junwei Liu, Kazim Narsinh, Feng Lan, Circulation Cardiovascular Imaging	2012	75
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy Amanda Coston, Neel Guha, Derek Ouyang, arXiv (Cornell University)	2020	63
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders Logan Stapleton, Min Hun Lee, Diana Qing, 2022 ACM Conference on Fairness, Accountability, and Transparency	2022	62

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