Jamie Morgenstern

University of Washington — United States

Decision Sciences · Social Sciences

25h-index2.5kcitations99works7.92yr avg
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Research Topics

Auction Theory and Applications(36), Advanced Bandit Algorithms Research(23), Machine Learning and Algorithms(18), Ethics and Social Impacts of AI(15), Privacy-Preserving Technologies in Data(13)

Publications99 total

How do data owners say no? A case study of data consent mechanisms in web-scraped vision-language AI training datasets
arXiv (Cornell University)·2025Open Access
SoK: Fair Clustering: Critique, Caveats, and Future Directions
2025
Large language models that replace human participants can harmfully misportray and flatten identity groups
Nature Machine Intelligence·2025· 48 cited
Markovian Pandora's box
arXiv (Cornell University)·2025Open Access
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
2024· 6 citedOpen Access
Fair Clustering: Critique, Caveats, and Future Directions
arXiv (Cornell University)·2024Open Access
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
arXiv (Cornell University)·2024· 4 citedOpen Access
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
arXiv (Cornell University)·2024Open Access
Large language models that replace human participants can harmfully misportray and flatten identity groups
arXiv (Cornell University)·2024· 18 citedOpen Access
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
2024· 2 cited
Initializing Services in Interactive ML Systems for Diverse Users
arXiv (Cornell University)·2023Open Access
Fair Active Learning in Low-Data Regimes
arXiv (Cornell University)·2023Open Access
Multicalibrated Regression for Downstream Fairness
2023· 4 cited
Evaluation of targeted dataset collection on racial equity in face recognition
2023· 4 citedOpen Access
Changing distributions and preferences in learning systems
2023
Scalable Membership Inference Attacks via Quantile Regression
arXiv (Cornell University)·2023· 8 citedOpen Access
Doubly Constrained Fair Clustering
arXiv (Cornell University)·2023Open Access
Multicalibrated Regression for Downstream Fairness
arXiv (Cornell University)·2022· 1 citedOpen Access
Preference Dynamics Under Personalized Recommendations
Proceedings of the 23rd ACM Conference on Economics and Computation·2022· 14 cited
Individual Preference Stability for Clustering
arXiv (Cornell University)·2022· 1 citedOpen Access
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Frequent Co-authors

Aaron Roth(13), Michael Kearns(9), Matthew Joseph(8), Matthäus Kleindeßner(8), Pranjal Awasthi(8), Samira Samadi(6), Tim Roughgarden(5), Shahin Jabbari(4), Seth Neel(4), Uthaipon Tantipongpipat(4), Mohit Singh(4), Santosh Vempala(4), Zhiwei Steven Wu(4), Rachel Cummings(3), Sampath Kannan(3), Avrim Blum(3), Timnit Gebru(2), Briana Vecchione(2), Jennifer Wortman Vaughan(2), Hanna Wallach(2)