Publications

June 2024 5th Symposium on Foundations of Responsible Computing (FORC 2024)

Balanced Filtering via Disclosure-Controlled Proxies

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June 2024 arXiv Preprint

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions

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July 2023 arXiv Preprint

Correcting Underrepresentation and Intersectionality Bias for Classification

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June 2022 2022 ACM Conference on Fairness, Accountability, and Transparency

Multiaccurate Proxies for Downstream Fairness

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July 2021 Twenty-Second ACM Conference on Economics and Computation

Algorithms and Learning for Fair Portfolio Design

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June 2021 2nd Symposium on Foundations of Responsible Computing

Lexicographically Fair Learning: Algorithms and Generalization

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May 2021 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society

Minimax Group Fairness: Algorithms and Experiments

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October 2020 ICAIF ‘20: Proceedings of the First ACM International Conference on AI in Finance

Optimal, Truthful, and Private Securities Lending

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July 2020 EC ‘20: Proceedings of the 21st ACM Conference on Economics and Computation

Differentially Private Call Auctions and Market Impact

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Charles R. Noble, Andrew T. Anderson, Nathan R. Barton, Jamie A. Bramwell, Arlie Capps, Michael H. Chang, Jin J. Chou, David M. Dawson, Emily R. Diana, Timothy A. Dunn, Douglas R. Faux, Aaron C. Fisher, Patrick T. Greene, Ines Heinz, Yuliya Kanarska, Saad A. Khairallah, Benjamin T. Liu, Jon D. Margraf, Albert L. Nichols, Robert N. Nourgaliev, Michael A. Puso, James F. Reus, Peter B. Robinson, Alek I. Shestakov, Jerome M. Solberg, Daniel Taller, Paul H. Tsuji, Christopher A. White, Jeremy L. White
May 2017 The U.S. Department of Energy's Office of Scientific and Technical Information

ALE3D: An Arbitrary Lagrangian-Eulerian Multi-Physics Code

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