Emily Diana

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Citations	219	216
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Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Krishnaram KenthapadiFiddler AIVerified email at CS.Stanford.EDU
Saeed Sharifi-MalvajerdiResearch Assistant Professor, Toyota Technological Institute at Chicago (TTIC)Verified email at ttic.edu
Hadi ElzaynStanford UniversityVerified email at stanford.edu
Ira Globus-HarrisGraduate Student, University of PennsylvaniaVerified email at seas.upenn.edu
Zachary SchutzmanMITVerified email at schutzman.net
Travis DickGoogleVerified email at google.com
Seth NeelAsst Professor, Harvard UniversityVerified email at hbs.edu
Georgy NoarovDepartment of Mathematics, Princeton UniversityVerified email at princeton.edu

Emily Diana

Research Assistant Professor, Toyota Technological Institute at Chicago

Verified email at wharton.upenn.edu - Homepage

algorithmic fairness differential privacy machine learning statistical learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
ALE3D: An arbitrary Lagrangian-Eulerian multi-physics code CR Noble, AT Anderson, NR Barton, JA Bramwell, A Capps, MH Chang, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2017	90	2017
Minimax group fairness: Algorithms and experiments E Diana, W Gill, M Kearns, K Kenthapadi, A Roth Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 66-76, 2021	87*	2021
Multiaccurate proxies for downstream fairness E Diana, W Gill, M Kearns, K Kenthapadi, A Roth, S Sharifi-Malvajerdi Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	16	2022
Tech. Rep CR Noble, AT Anderson, NR Barton, JA Bramwell, A Capps, MH Chang, ... Lawrence Livermore National Lab.(LLNL, Livermore, CA (United States, 2017	8	2017
Lexicographically fair learning: Algorithms and generalization E Diana, W Gill, I Globus-Harris, M Kearns, A Roth, S Sharifi-Malvajerdi arXiv preprint arXiv:2102.08454, 2021	6	2021
Algorithms and learning for fair portfolio design E Diana, T Dick, H Elzayn, M Kearns, A Roth, Z Schutzman, ... Proceedings of the 22nd ACM Conference on Economics and Computation, 371-389, 2021	5	2021
Differentially private call auctions and market impact E Diana, H Elzayn, M Kearns, A Roth, S Sharifi-Malvajerdi, J Ziani Proceedings of the 21st ACM Conference on Economics and Computation, 541-583, 2020	5	2020
Optimal, truthful, and private securities lending E Diana, M Kearns, S Neel, A Roth Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020	2	2020
Balanced Filtering via Non-Disclosive Proxies S Deng, E Diana, M Kearns, A Roth arXiv preprint arXiv:2306.15083, 2023		2023
Correcting Underrepresentation and Intersectional Bias for Fair Classification AW Tolbert, E Diana arXiv preprint arXiv:2306.11112, 2023		2023
SIGecom winter meeting 2022 highlights E Diana, M Niu, G Noarov ACM SIGecom Exchanges 20 (1), 3-23, 2022		2022

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