| Descent-to-delete: Gradient-based methods for machine unlearning S Neel, A Roth, S Sharifi-Malvajerdi Algorithmic Learning Theory, 931-962, 2021 | 407 | 2021 |
| Adaptive machine unlearning V Gupta, C Jung, S Neel, A Roth, S Sharifi-Malvajerdi, C Waites Advances in Neural Information Processing Systems 34, 16319-16330, 2021 | 270 | 2021 |
| Differentially private fair learning M Jagielski, M Kearns, J Mao, A Oprea, A Roth, S Sharifi-Malvajerdi, ... International Conference on Machine Learning, 3000-3008, 2019 | 225 | 2019 |
| Average individual fairness: Algorithms, generalization and experiments S Sharifi-Malvajerdi, M Kearns, A Roth Advances in neural information processing systems 32, 2019 | 135 | 2019 |
| A new analysis of differential privacy's generalization guarantees C Jung, K Ligett, S Neel, A Roth, S Sharifi-Malvajerdi, M Shenfeld arXiv preprint arXiv:1909.03577, 2019 | 58 | 2019 |
| 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 |
| Bayesian strategic classification L Cohen, S Sharifi-Malvajerdi, K Stang, A Vakilian, J Ziani Advances in Neural Information Processing Systems 37, 111649-111678, 2024 | 17 | 2024 |
| 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 |
| Sequential strategic screening L Cohen, S Sharifi-Malvajerdi, K Stangl, A Vakilian, J Ziani International Conference on Machine Learning, 6279-6295, 2023 | 10 | 2023 |
| Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model S Sharifi-Malvajerdi, F Zhu, CB Fogarty, MP Fay, RM Fairhurst, JA Flegg, ... Malaria journal 18 (1), 4, 2019 | 9 | 2019 |
| 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 |
| 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 |
| Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks F Akhoundi, S Sharifi-Malvajerdi, O Poursaeed, JA Salehi 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile …, 2016 | 1 | 2016 |
| Ethical Machine Learning: Fairness, Privacy, And The Right To Be Forgotten S Sharifi-Malvajerdi University of Pennsylvania, 2022 | | 2022 |
| 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 |
| 2nd Symposium on Foundations of Responsible Computing (FORC 2021) A Ganesh, J Zhao, C Jung, M Kearns, S Neel, A Roth, L Stapleton, ZS Wu, ... Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 2021 | | 2021 |
| 11th Innovations in Theoretical Computer Science Conference (ITCS 2020) E Goldenberg, CS Karthik, O Paradise, A Schvartzman, SM Weinberg, ... Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 2020 | | 2020 |
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
