Alexandra Chouldechova

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Topics

Trinocular Stereo

Decision Making

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. FAccT (2024)
Christine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík
A structured regression approach for evaluating model performance across intersectional subgroups. CoRR (2024)
Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. CoRR (2024)
Christine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík
A structured regression approach for evaluating model performance across intersectional subgroups. FAccT (2024)
Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan
Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool. CoRR (2024)
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
Examining risks of racial biases in NLP tools for child protective services. CoRR (2023)
Lingwei Cheng, Alexandra Chouldechova
Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control. CHI (2023)
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
Examining risks of racial biases in NLP tools for child protective services. FAccT (2023)
Lingwei Cheng, Alexandra Chouldechova
Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control. CoRR (2023)
Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. CoRR (2023)
Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. FAccT (2023)
Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. CoRR (2022)
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel Ho
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. FAccT (2022)
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. FAccT (2022)
Lingwei Cheng, Alexandra Chouldechova
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. CoRR (2022)
Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. CoRR (2022)
Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. FAccT (2022)
Lingwei Cheng, Alexandra Chouldechova
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening. CoRR (2022)
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. CoRR (2022)
Lingwei Cheng, Alexandra Chouldechova
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona
Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. ECCV (13) (2022)
Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
Characterizing Fairness Over the Set of Good Models Under Selective Labels. CoRR (2021)
Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. CoRR (2021)
Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. CHI (2021)
Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
Characterizing Fairness Over the Set of Good Models Under Selective Labels. ICML (2021)
Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova
The effect of differential victim crime reporting on predictive policing systems. CoRR (2021)
Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds. FAccT (2021)
Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova
The effect of differential victim crime reporting on predictive policing systems. FAccT (2021)
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. FAccT (2021)
Rhema Vaithianathan, Diana Benavides Prado, Eric E. Dalton, Alexandra Chouldechova, Emily Putnam-Hornstein
Using a Machine Learning Tool to Support High-Stakes Decisions in Child Protection. AI Mag. 42 (1) (2021)
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
Leveraging Expert Consistency to Improve Algorithmic Decision Support. CoRR (2021)
Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Riccardo Fogliato, Alice Xiang, Zachary Lipton, Daniel Nagin, Alexandra Chouldechova
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. AIES (2021)
Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. CoRR (2021)
Amanda Coston, Edward H. Kennedy, Alexandra Chouldechova
Counterfactual Predictions under Runtime Confounding. NeurIPS (2020)
Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova
Fairness Evaluation in Presence of Biased Noisy Labels. CoRR (2020)
Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CoRR (2020)
Alexandra Chouldechova, Aaron Roth
A snapshot of the frontiers of fairness in machine learning. Commun. ACM 63 (5) (2020)
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. CoRR (2020)
Amanda Coston, Edward H. Kennedy, Alexandra Chouldechova
Counterfactual Predictions under Runtime Confounding. CoRR (2020)
Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
Counterfactual risk assessments, evaluation, and fairness. FAT* (2020)
Riccardo Fogliato, Alexandra Chouldechova, Max G'Sell
Fairness Evaluation in Presence of Biased Noisy Labels. AISTATS (2020)
Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CHI (2020)
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR (2019)
Anna Brown, Alexandra Chouldechova, Emily Putnam-Hornstein, Andrew Tobin, Rhema Vaithianathan
Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services. CHI (2019)
Amanda Coston, Alexandra Chouldechova, Edward H. Kennedy
Counterfactual Risk Assessments, Evaluation, and Fairness. CoRR (2019)
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) (2019)
Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. FAT (2019)
Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. CoRR (2019)
Alexandra Chouldechova, Aaron Roth
The Frontiers of Fairness in Machine Learning. CoRR (2018)
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
Learning under selective labels in the presence of expert consistency. CoRR (2018)
Zachary C. Lipton, Julian J. McAuley, Alexandra Chouldechova
Does mitigating ML's impact disparity require treatment disparity? NeurIPS (2018)
Alexandra Chouldechova, Diana Benavides Prado, Oleksandr Fialko, Rhema Vaithianathan
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. FAT (2018)
Alexandra Chouldechova, Max G'Sell
Fairer and more accurate, but for whom? CoRR (2017)
Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley
Does mitigating ML's disparate impact require disparate treatment? CoRR (2017)
Alexandra Chouldechova
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. CoRR (2017)
Alexandra Chouldechova
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments. Big Data 5 (2) (2017)
Alexandra Chouldechova
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. CoRR (2016)
Alexandra Chouldechova, David Mease
Differences in search engine evaluations between query owners and non-owners. WSDM (2013)