Alexandra Chouldechova

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All published works

Action	Title	Year	Authors
+ PDF Chat	Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice	2024	A. Feder Cooper Christopher A. Choquette-Choo Miranda Bogen Matthew Jagielski Katja Filippova Ken Ziyu Liu Alexandra Chouldechova Jamie Hayes Yangsibo Huang Niloofar Mireshghallah
+ PDF Chat	A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts	2024	Alexandra Chouldechova Chad Atalla Solon Barocas A. Feder Cooper Emily Corvi P. Alex Dow Jean Garcia-Gathright Nicholas Pangakis Seann Reed Emily Sheng
+ PDF Chat	Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems	2024	Emma Karoune Emily Sheng Su Lin Blodgett Alexandra Chouldechova Jean Garcia-Gathright Alexandra Olteanu Hanna Wallach
+ PDF Chat	A Framework for Evaluating LLMs Under Task Indeterminacy	2024	Luke Guerdan Hanna Wallach Solon Barocas Alexandra Chouldechova
+ PDF Chat	Dimensions of Generative AI Evaluation Design	2024	P. Alex Dow Jennifer Wortman Vaughan Solon Barocas Chad Atalla Alexandra Chouldechova Hanna Wallach
+ PDF Chat	Evaluating Generative AI Systems is a Social Science Measurement Challenge	2024	Hanna Wallach Meera Desai Nicholas Pangakis A. Feder Cooper Angelina Wang Solon Barocas Alexandra Chouldechova Chad Atalla Su Lin Blodgett Emily Corvi
+ PDF Chat	SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation	2024	Mikhail Khodak Lester Mackey Alexandra Chouldechova Miroslav Dudı́k
+ PDF Chat	Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders	2024	Anna Kawakami Daricia Wilkinson Alexandra Chouldechova
+ PDF Chat	Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool	2024	Lingwei Cheng Cameron Drayton Alexandra Chouldechova Rhema Vaithianathan
+ PDF Chat	The Impact of Differential Feature Under-reporting on Algorithmic Fairness	2024	Nil-Jana Akpinar Zachary C. Lipton Alexandra Chouldechova
+ PDF Chat	A structured regression approach for evaluating model performance across intersectional subgroups	2024	Christine Herlihy Kimberly A. Truong Alexandra Chouldechova Miroslav Dudı́k
+ PDF Chat	Estimating the likelihood of arrest from police records in presence of unreported crimes	2024	Riccardo Fogliato Arun Kumar Kuchibhotla Zachary C. Lipton Daniel S. Nagin Alice Xiang Alexandra Chouldechova
+ PDF Chat	A structured regression approach for evaluating model performance across intersectional subgroups	2024	Christine Herlihy Kimberly A. Truong Alexandra Chouldechova Miroslav Dudı́k
+	The Impact of Differential Feature Under-reporting on Algorithmic Fairness	2024	Nil-Jana Akpinar Zachary C. Lipton Alexandra Chouldechova
+ PDF Chat	Evaluating and Improving Health Equity and Fairness of Polygenic Scores	2023	Tianyu Zhang Lambertus Klei Peng Liu Alexandra Chouldechova Kathryn Roeder Max G’Sell Bernie Devlin
+ PDF Chat	Examining risks of racial biases in NLP tools for child protective services	2023	Anjalie Field Amanda Coston Nupoor Gandhi Alexandra Chouldechova Emily Putnam‐Hornstein David Steier Yulia Tsvetkov
+	Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints	2023	Jamelle Watson-Daniels Solon Barocas Jake M. Hofman Alexandra Chouldechova
+	Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control	2023	Lingwei Cheng Alexandra Chouldechova
+	Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control	2023	Lingwei Cheng Alexandra Chouldechova
+	Estimating the Likelihood of Arrest from Police Records in Presence of Unreported Crimes	2023	Riccardo Fogliato Arun Kumar Kuchibhotla Zachary C. Lipton Daniel S. Nagin Alice Xiang Alexandra Chouldechova
+ PDF Chat	Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening	2022	Lingwei Cheng Alexandra Chouldechova
+ PDF Chat	Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders	2022	Logan Stapleton Min Hun Lee Diana Qing M. R. Wright Alexandra Chouldechova Ken Holstein Zhiwei Steven Wu Haiyi Zhu
+ PDF Chat	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness	2022	Kate Donahue Alexandra Chouldechova Krishnaram Kenthapadi
+ PDF Chat	Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models	2022	Emily Black Hadi Elzayn Alexandra Chouldechova Jacob Goldin Daniel E. Ho
+	Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening	2022	Lingwei Cheng Alexandra Chouldechova
+	Doubting AI Predictions: Influence-Driven Second Opinion Recommendation	2022	Maria De‐Arteaga Alexandra Chouldechova Artur Dubrawski
+	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness	2022	Kate Donahue Alexandra Chouldechova Krishnaram Kenthapadi
+	Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models	2022	Emily Black Hadi Elzayn Alexandra Chouldechova Jacob Goldin Daniel E. Ho
+ PDF Chat	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies	2021	Riccardo Fogliato Alexandra Chouldechova Zachary C. Lipton
+	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies	2021	Riccardo Fogliato Alexandra Chouldechova Zachary C. Lipton
+	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes	2021	Riccardo Fogliato Alice Xiang Zachary C. Lipton Daniel S. Nagin Alexandra Chouldechova
+	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes	2021	Riccardo Fogliato Alice Xiang Zachary C. Lipton Daniel S. Nagin Alexandra Chouldechova
+ PDF Chat	Soliciting Stakeholders’ Fairness Notions in Child Maltreatment Predictive Systems	2021	Hao-Fei Cheng Logan Stapleton Ruiqi Wang Paige Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu
+	Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy	2021	Amanda Coston Neel Guha Derek Ouyang Lisa Lu Alexandra Chouldechova Daniel E. Ho
+	Leveraging Administrative Data for Bias Audits	2021	Amanda Coston Neel Guha Derek Ouyang Lisa Lu Alexandra Chouldechova Daniel E. Ho
+	Leveraging Administrative Data for Bias Audits	2021	Amanda Coston Neel Guha Derek Ouyang Lisa Lu Alexandra Chouldechova Daniel E. Ho
+	The effect of differential victim crime reporting on predictive policing systems	2021	Nil-Jana Akpinar Maria De‐Arteaga Alexandra Chouldechova
+	Fairness in Risk Assessment Instruments	2021	Alan Mishler Edward H. Kennedy Alexandra Chouldechova
+	Leveraging Expert Consistency to Improve Algorithmic Decision Support.	2021	Maria De‐Arteaga Artur Dubrawski Alexandra Chouldechova
+	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes	2021	Riccardo Fogliato Alice Xiang Zachary C. Lipton Daniel S. Nagin Alexandra Chouldechova
+	Characterizing Fairness Over the Set of Good Models Under Selective Labels	2021	Amanda Coston Ashesh Rambachan Alexandra Chouldechova
+	Leveraging Expert Consistency to Improve Algorithmic Decision Support	2021	Maria De‐Arteaga Vincent Jeanselme Artur Dubrawski Alexandra Chouldechova
+	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies	2021	Riccardo Fogliato Alexandra Chouldechova Zachary C. Lipton
+	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores	2020	Maria De‐Arteaga Riccardo Fogliato Alexandra Chouldechova
+	Counterfactual risk assessments, evaluation, and fairness	2020	Amanda Coston Alan Mishler Edward H. Kennedy Alexandra Chouldechova
+	Fairness Evaluation in Presence of Biased Noisy Labels	2020	Riccardo Fogliato Max G’Sell Alexandra Chouldechova
+	Counterfactual Predictions under Runtime Confounding	2020	Amanda Coston Edward H. Kennedy Alexandra Chouldechova
+	Counterfactual Predictions under Runtime Confounding.	2020	Amanda Coston Edward H. Kennedy Alexandra Chouldechova
+	Counterfactual Risk Assessments, Evaluation, and Fairness	2019	Amanda Coston Alan Mishler Edward H. Kennedy Alexandra Chouldechova
+ PDF Chat	Bias in Bios	2019	Maria De‐Arteaga Alexey Romanov Hanna Wallach Jennifer Chayes Christian Borgs Alexandra Chouldechova Sahin Cem Geyik Krishnaram Kenthapadi Adam Tauman Kalai
+	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes	2019	Alexey Romanov Maria De‐Arteaga Hanna Wallach Jennifer Chayes Christian Borgs Alexandra Chouldechova Sahin Cem Geyik Krishnaram Kenthapadi Anna Rumshisky Adam Tauman Kalai
+	Counterfactual Risk Assessments, Evaluation, and Fairness	2019	Amanda Coston Alan Mishler Edward H. Kennedy Alexandra Chouldechova
+	Does mitigating ML's impact disparity require treatment disparity?	2018	Zachary C. Lipton Julian McAuley Alexandra Chouldechova
+	Learning under selective labels in the presence of expert consistency	2018	Maria De‐Arteaga Artur Dubrawski Alexandra Chouldechova
+	The Frontiers of Fairness in Machine Learning	2018	Alexandra Chouldechova Aaron Roth
+	Does mitigating ML's disparate impact require disparate treatment?	2017	Zachary C. Lipton Alexandra Chouldechova Julian McAuley
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova
+	Fairer and more accurate, but for whom?	2017	Alexandra Chouldechova Max G’Sell
+	Does mitigating ML's impact disparity require treatment disparity?	2017	Zachary C. Lipton Alexandra Chouldechova Julian McAuley
+	Fair prediction with disparate impact: A study of bias in recidivism prediction instruments	2017	Alexandra Chouldechova
+	Fair prediction with disparate impact: A study of bias in recidivism prediction instruments	2016	Alexandra Chouldechova
+	Fair prediction with disparate impact: A study of bias in recidivism prediction instruments	2016	Alexandra Chouldechova
+ PDF Chat	Sequential Selection Procedures and False Discovery Rate Control	2015	Max G’Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani
+	Generalized Additive Model Selection	2015	Alexandra Chouldechova Trevor Hastie
+	Sequential Selection Procedures and False Discovery Rate Control	2013	Max G’Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani
+	False Discovery Rate Control for Sequential Selection Procedures, with Application to the Lasso	2013	Max G’Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani
+	Sequential Selection Procedures and False Discovery Rate Control	2013	Max G’Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani

Common Coauthors

Coauthor	Papers Together
Zachary C. Lipton	13
Riccardo Fogliato	10
Amanda Coston	10
Hanna Wallach	8
Maria De‐Arteaga	8
Max G’Sell	7
Edward H. Kennedy	6
Solon Barocas	6
Daniel S. Nagin	5
Lingwei Cheng	5
Alice Xiang	5
Daniel E. Ho	5
Robert Tibshirani	4
Artur Dubrawski	4
Alan Mishler	4
Stefan Wager	4
Krishnaram Kenthapadi	4
Derek Ouyang	3
Jean Garcia-Gathright	3
Julian McAuley	3
Miroslav Dudík	3
Lisa Lu	3
A. Feder Cooper	3
Nil-Jana Akpinar	3
Neel Guha	3
Emily Sheng	3
P. Alex Dow	3
Chad Atalla	3
Jennifer Wortman Vaughan	3
Zhiwei Steven Wu	2
Nicholas Pangakis	2
Jacob Goldin	2
Dan Vann	2
Kate Donahue	2
Logan Stapleton	2
Alexandra Olteanu	2
Sahin Cem Geyik	2
Christian Borgs	2
Alexey Romanov	2
Jennifer Chayes	2
Max Vogel	2
Christine Herlihy	2
Hadi Elzayn	2
Arun Kumar Kuchibhotla	2
Su Lin Blodgett	2
Abigail Z. Jacobs	2
Haiyi Zhu	2
Kimberly A. Truong	2
Adam Tauman Kalai	2
Seann Reed	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	10
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	9
+	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores	2020	Maria De‐Arteaga Riccardo Fogliato Alexandra Chouldechova	9
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	8
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	8
+ PDF Chat	The Selective Labels Problem	2017	Himabindu Lakkaraju Jon Kleinberg Jure Leskovec Jens Ludwig Sendhil Mullainathan	6
+ PDF Chat	A Human-Centered Review of Algorithms used within the U.S. Child Welfare System	2020	Devansh Saxena Karla Badillo-Urquiola Pamela Wiśniewski Shion Guha	5
+	The Measure and Mismeasure of Fairness	2018	Sam Corbett‐Davies Sharad Goel	5
+ PDF Chat	Fair Inference on Outcomes	2018	Razieh Nabi Ilya Shpitser	5
+	Unified Methods for Censored Longitudinal Data and Causality	2003	Mark J. van der Laan James M. Robins	4
+ PDF Chat	FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning	2019	Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau	4
+ PDF Chat	An algorithm for removing sensitive information: Application to race-independent recidivism prediction	2019	James E. Johndrow Kristian Lum	4
+ PDF Chat	Algorithmic Decision Making and the Cost of Fairness	2017	Sam Corbett‐Davies Emma Pierson Avi Feller Sharad Goel Aziz Z. Huq	4
+	Causal Inference Using Potential Outcomes	2005	Donald B. Rubin	4
+ PDF Chat	Manipulating and Measuring Model Interpretability	2021	Forough Poursabzi-Sangdeh Daniel G. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna Wallach	4
+	Avoiding Discrimination through Causal Reasoning	2017	Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf	4
+	The Frontiers of Fairness in Machine Learning	2018	Alexandra Chouldechova Aaron Roth	4
+ PDF Chat	Fairness in Criminal Justice Risk Assessments: The State of the Art	2018	Richard A. Berk Hoda Heidari Shahin Jabbari Michael Kearns Aaron Roth	4
+	Fairness Evaluation in Presence of Biased Noisy Labels	2020	Riccardo Fogliato Max G’Sell Alexandra Chouldechova	3
+	Randomization Inference With Natural Experiments	2006	Daniel E. Ho Kosuke Imai	3
+ PDF Chat	Timing of State and Territorial COVID-19 Stay-at-Home Orders and Changes in Population Movement — United States, March 1–May 31, 2020	2020	Amanda Moreland Christine Herlihy Michael A. Tynan Gregory Sunshine Russell F. McCord Charity Hilton Jason Poovey Angela Werner Chris Jones Erika B. Fulmer	3
+ PDF Chat	Assessing algorithmic fairness with unobserved protected class using data combination	2020	Nathan Kallus Xiaojie Mao Angela Zhou	3
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	3
+	Estimation of Regression Coefficients When Some Regressors are not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao	3
+ PDF Chat	VIF Regression: A Fast Regression Algorithm for Large Data	2011	Dongyu Lin Dean P. Foster Lyle Ungar	3
+	Counterfactual risk assessments, evaluation, and fairness	2020	Amanda Coston Alan Mishler Edward H. Kennedy Alexandra Chouldechova	3
+ PDF Chat	A comparative study of fairness-enhancing interventions in machine learning	2019	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth	3
+ PDF Chat	Prediction Policy Problems	2015	Jon Kleinberg Jens Ludwig Sendhil Mullainathan Ziad Obermeyer	3
+	The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology	2020	Kyra H. Grantz Hannah R. Meredith Derek A. T. Cummings C. Jessica E. Metcalf Bryan T. Grenfell J Giles Shruti H. Mehta Sunil S. Solomon Alain Labrique Nishant Kishore	3
+ PDF Chat	A large-scale analysis of racial disparities in police stops across the United States	2020	Emma Pierson Camelia Simoiu Jan Overgoor Sam Corbett‐Davies Daniel Jenson Amy Shoemaker Ramachandran Vignesh Phoebe Barghouty Cheryl Phillips Ravi Shroff	3
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	3
+ PDF Chat	Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data	2015	Nathalie E. Williams Timothy A. Thomas Matthew D. Dunbar Nathan Eagle Adrian Dobra	3
+	Fairness through Causal Awareness	2019	David Madras Elliot Creager Toniann Pitassi Richard S. Zemel	3
+	Inference and missing data	1976	Donald B. Rubin	3
+	An improved Bonferroni procedure for multiple tests of significance	1986	R. John Simes	3
+ PDF Chat	Controlling Variable Selection by the Addition of Pseudovariables	2007	Yujun Wu Dennis D. Boos Leonard A. Stefanski	3
+	On the theory of order statistics	1953	A. Rényi	3
+	Avoiding Discrimination through Causal Reasoning	2017	Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf	3
+	On the Causal Interpretation of Race in Regressions Adjusting for Confounding and Mediating Variables	2014	Tyler J. VanderWeele Whitney R. Robinson	3
+	Adaptive testing for the graphical lasso	2013	Max G’Sell Jonathan Taylor Robert Tibshirani	3
+	On the (im)possibility of fairness	2016	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian	3
+	Semiparametric Efficiency in Multivariate Regression Models with Missing Data	1995	James M. Robins Andrea Rotnitzky	3
+ PDF Chat	Inherent Tradeoffs in the Fair Determination of Risk Scores	2023	Manish Raghavan	3
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services	2019	Amanda Kube Sanmay Das Patrick J. Fowler	3
+	Statistics and Causal Inference	1986	Paul W. Holland	3
+ PDF Chat	Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach	2003	John D. Storey Jonathan Taylor David Siegmund	3
+ PDF Chat	Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data	2016	Amy Wesolowski Caroline O. Buckee Kenth Engø‐Monsen C. Jessica E. Metcalf	3
+	Counterfactual Fairness	2017	Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo Silva	3