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Amanda Coston
Amanda Coston
Microsoft
Verified email at alumni.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Counterfactual risk assessments, evaluation, and fairness
A Coston, A Mishler, EH Kennedy, A Chouldechova
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
1052020
Fair transfer learning with missing protected attributes
A Coston, KN Ramamurthy, D Wei, KR Varshney, S Speakman, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 91-98, 2019
1022019
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
arXiv preprint arXiv:1910.07162, 2019
982019
Leveraging administrative data for bias audits: Assessing disparate coverage with mobility data for COVID-19 policy
A Coston, N Guha, D Ouyang, L Lu, A Chouldechova, DE Ho
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
732021
Characterizing Fairness Over the Set of Good Models Under Selective Labels
A Coston, A Rambachan, A Chouldechova
International Conference on Machine Learning 139, 2021
592021
Counterfactual predictions under runtime confounding
A Coston, E Kennedy, A Chouldechova
Advances in neural information processing systems 33, 4150-4162, 2020
222020
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
A Coston, A Kawakami, H Zhu, K Holstein, H Heidari
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 690-704, 2023
202023
Ground (less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
L Guerdan, A Coston, ZS Wu, K Holstein
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
92023
Counterfactual risk assessments under unmeasured confounding
A Rambachan, A Coston, E Kennedy
arXiv preprint arXiv:2212.09844, 2022
92022
Counterfactual Prediction Under Outcome Measurement Error
L Guerdan, A Coston, K Holstein, ZS Wu
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
52023
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
L Li, R Zuo, A Coston, JC Weiss, GH Chen
International Conference on Artificial Intelligence in Medicine, 371-381, 2020
42020
Enhancing fairness in transfer learning for machine learning models with missing protected attributes in source or target domains
KN Ramamurthy, A Coston, D Wei, KR Varshney, S Speakman, ...
US Patent 11,443,236, 2022
22022
The role of the geometric mean in case-control studies
A Coston, EH Kennedy
arXiv preprint arXiv:2207.09016, 2022
22022
Characterizing fairness over the set of good models under selective labels.” arXiv pre-print
A Coston, A Rambachan, A Chouldechova
22021
Examining risks of racial biases in NLP tools for child protective services
A Field, A Coston, N Gandhi, A Chouldechova, E Putnam-Hornstein, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
12023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
A Kawakami, A Coston, H Zhu, H Heidari, K Holstein
arXiv preprint arXiv:2303.14602, 2023
12023
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
A KAWAKAMI, A COSTON, H HEIDARI, K HOLSTEIN, H ZHU
1
Policy Comparison Under Unmeasured Confounding
L Guerdan, A Coston, S Wu, K Holstein
NeurIPS 2023 Workshop on Regulatable ML, 2023
2023
Principled Machine Learning for Societally Consequential Decision Making
A Coston
Carnegie Mellon University Pittsburgh, PA, 2023
2023
Counterfactual Decision Support Under Treatment-Conditional Outcome Measurement Error
L Guerdan, AL Coston, K Holstein, S Wu
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
2022
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