| Online learning with an unknown fairness metric S Gillen, C Jung, M Kearns, A Roth Advances in neural information processing systems 31, 2018 | 141 | 2018 |
| Eliciting and enforcing subjective individual fairness C Jung, M Kearns, S Neel, A Roth, L Stapleton, ZS Wu arXiv preprint arXiv:1905.10660 1, 2019 | 77* | 2019 |
| Fair algorithms for learning in allocation problems H Elzayn, S Jabbari, C Jung, M Kearns, S Neel, A Roth, Z Schutzman Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 77 | 2019 |
| 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 | 50 | 2021 |
| Moment multicalibration for uncertainty estimation C Jung, C Lee, M Pai, A Roth, R Vohra Conference on Learning Theory, 2634-2678, 2021 | 48 | 2021 |
| Metric-free individual fairness in online learning Y Bechavod, C Jung, SZ Wu Advances in neural information processing systems 33, 11214-11225, 2020 | 39 | 2020 |
| 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 | 37 | 2019 |
| Fair prediction with endogenous behavior C Jung, S Kannan, C Lee, M Pai, A Roth, R Vohra Proceedings of the 21st ACM Conference on Economics and Computation, 677-678, 2020 | 36 | 2020 |
| Online multivalid learning: Means, moments, and prediction intervals V Gupta, C Jung, G Noarov, MM Pai, A Roth arXiv preprint arXiv:2101.01739, 2021 | 29 | 2021 |
| A center in your neighborhood: Fairness in facility location C Jung, S Kannan, N Lutz arXiv preprint arXiv:1908.09041, 2019 | 28 | 2019 |
| Practical adversarial multivalid conformal prediction O Bastani, V Gupta, C Jung, G Noarov, R Ramalingam, A Roth arXiv preprint arXiv:2206.01067, 2022 | 13 | 2022 |
| Batch multivalid conformal prediction C Jung, G Noarov, R Ramalingam, A Roth arXiv preprint arXiv:2209.15145, 2022 | 7 | 2022 |
| Quantifying the burden of exploration and the unfairness of free riding C Jung, S Kannan, N Lutz Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 4 | 2020 |
| Multicalibrated regression for downstream fairness I Globus-Harris, V Gupta, C Jung, M Kearns, J Morgenstern, A Roth arXiv preprint arXiv:2209.07312, 2022 | 1 | 2022 |
| Distributionally Robust Data Join P Awasthi, C Jung, J Morgenstern arXiv preprint arXiv:2202.05797, 2022 | 1 | 2022 |
| Control group dataset optimization M Abdulla, C Jung, E Koenig, N Sidawy, A Svistunov, D Tiedemann, ... US Patent 11232459B1, 2022 | | 2022 |
| Control group dataset optimization M Abdulla, C Jung, E Koenig, N Sidaway, A Svistunov, D Tiedemann, ... US Patent 10,395,259, 2019 | | 2019 |
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
