| 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 | 183* | 2021 |
| 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 | 154 | 2017 |
| 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 | 37 | 2022 |
| 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 | 11 | 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 | 8 | 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 | 7 | 2020 |
| Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models P Shukla, A Chinchure, E Diana, A Tolbert, K Hosanagar, ... arXiv preprint arXiv:2505.17280, 2025 | 6 | 2025 |
| 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 | 5 | 2020 |
| Minimax group fairness in strategic classification E Diana, S Sharifi-Malvajerdi, A Vakilian 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 753-772, 2025 | 4 | 2025 |
| BiasConnect: Investigating Bias Interactions in Text-to-Image Models P Shukla, A Chinchure, E Diana, A Tolbert, K Hosanagar, ... arXiv preprint arXiv:2503.09763, 2025 | 3 | 2025 |
| Gender Inclusivity Fairness Index (GIFI): a multilevel framework for evaluating gender diversity in large language models Z Shan, E Diana, J Zhou Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 2 | 2025 |
| Reconciling Predictive Multiplicity in Practice T Behzad, S Casacuberta, ER Diana, AW Tolbert Proceedings of the 2025 ACM Conference on Fairness, Accountability, and …, 2025 | 2 | 2025 |
| A Theoretical Model for Grit in Pursuing Ambitious Ends A Blum, E Diana, K Ravichandran, AW Tolbert arXiv preprint arXiv:2503.02952, 2025 | 1 | 2025 |
| Adaptive algorithmic interventions for escaping pessimism traps in dynamic sequential decisions E Diana, A Williams Tolbert, K Ravichandran, A Blum arXiv e-prints, arXiv: 2406.04462, 2024 | 1 | 2024 |
| Balanced filtering via disclosure-controlled proxies S Deng, E Diana, M Kearns, A Roth arXiv preprint arXiv:2306.15083, 2023 | 1 | 2023 |
| SIGecom winter meeting 2022 highlights E Diana, M Niu, G Noarov ACM SIGecom Exchanges 20 (1), 3-23, 2022 | 1 | 2022 |
| Pessimism Traps and Algorithmic Interventions A Blum, E Diana, K Ravichandran, AW Tolbert arXiv preprint arXiv:2406.04462, 2024 | | 2024 |
| Approaches Addressing Algorithmic Bias and Disclosiveness ER Diana University of Pennsylvania, 2023 | | 2023 |
| LIPIcs, Volume 192, FORC 2021, Complete Volume}} K Ligett, S Gupta, A Ganesh, J Zhao, C Jung, M Kearns, S Neel, A Roth, ... 2nd Symposium on Foundations of Responsible Computing (FORC 2021) 192, 0, 2021 | | 2021 |
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
