| Online learning with an unknown fairness metric S Gillen, C Jung, M Kearns, A Roth Advances in neural information processing systems 31, 2018 | 164 | 2018 |
| 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 | 117 | 2021 |
| In-medium spectral functions of vector-and axial-vector mesons from the functional renormalization group C Jung, F Rennecke, RA Tripolt, L von Smekal, J Wambach Physical Review D 95 (3), 036020, 2017 | 89 | 2017 |
| 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 | 88* | 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 | 87 | 2019 |
| Moment multicalibration for uncertainty estimation C Jung, C Lee, M Pai, A Roth, R Vohra Conference on Learning Theory, 2634-2678, 2021 | 59 | 2021 |
| Metric-free individual fairness in online learning Y Bechavod, C Jung, SZ Wu Advances in neural information processing systems 33, 11214-11225, 2020 | 54 | 2020 |
| 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 | 43 | 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 | 42 | 2019 |
| A center in your neighborhood: Fairness in facility location C Jung, S Kannan, N Lutz arXiv preprint arXiv:1908.09041, 2019 | 42 | 2019 |
| Online multivalid learning: Means, moments, and prediction intervals V Gupta, C Jung, G Noarov, MM Pai, A Roth arXiv preprint arXiv:2101.01739, 2021 | 37 | 2021 |
| Practical adversarial multivalid conformal prediction O Bastani, V Gupta, C Jung, G Noarov, R Ramalingam, A Roth Advances in Neural Information Processing Systems 35, 29362-29373, 2022 | 32 | 2022 |
| Vector and axial-vector mesons in nuclear matter RA Tripolt, C Jung, L von Smekal, J Wambach Physical review D 104 (5), 054005, 2021 | 24 | 2021 |
| Service in your neighborhood: Fairness in center location C Jung, S Kannan, N Lutz Foundations of Responsible Computing (FORC), 2020 | 22 | 2020 |
| Fluctuating vector mesons in analytically continued functional RG flow equations C Jung, L von Smekal Physical Review D 100 (11), 116009, 2019 | 22 | 2019 |
| In-medium spectral functions and dilepton rates with the Functional Renormalization Group RA Tripolt, C Jung, N Tanji, L von Smekal, J Wambach Nuclear Physics A 982, 775-778, 2019 | 19 | 2019 |
| Batch multivalid conformal prediction C Jung, G Noarov, R Ramalingam, A Roth arXiv preprint arXiv:2209.15145, 2022 | 18 | 2022 |
| Self-consistent model spectral functions from analytically continued functional renormalization group flows C Jung, JH Otto, RA Tripolt, L von Smekal Physical Review D 104 (9), 094011, 2021 | 13 | 2021 |
| Oracle efficient online multicalibration and omniprediction S Garg, C Jung, O Reingold, A Roth Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 8 | 2024 |
| Multicalibrated regression for downstream fairness I Globus-Harris, V Gupta, C Jung, M Kearns, J Morgenstern, A Roth Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 259-286, 2023 | 6 | 2023 |
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
