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Christopher Jung
Christopher Jung
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Title
Cited by
Cited by
Year
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
2702021
Online learning with an unknown fairness metric
S Gillen, C Jung, M Kearns, A Roth
Advances in neural information processing systems 31, 2018
1972018
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
1152019
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
109*2019
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
972022
Moment multicalibration for uncertainty estimation
C Jung, C Lee, M Pai, A Roth, R Vohra
Conference on Learning Theory, 2634-2678, 2021
902021
Batch multivalid conformal prediction
C Jung, G Noarov, R Ramalingam, A Roth
arXiv preprint arXiv:2209.15145, 2022
882022
Metric-free individual fairness in online learning
Y Bechavod, C Jung, SZ Wu
Advances in neural information processing systems 33, 11214-11225, 2020
722020
Online multivalid learning: Means, moments, and prediction intervals
V Gupta, C Jung, G Noarov, MM Pai, A Roth
arXiv preprint arXiv:2101.01739, 2021
682021
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
582019
A center in your neighborhood: Fairness in facility location
C Jung, S Kannan, N Lutz
arXiv preprint arXiv:1908.09041, 2019
572019
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
542020
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
532024
Service in your neighborhood: Fairness in center location
C Jung, S Kannan, N Lutz
Foundations of Responsible Computing (FORC), 2020
482020
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
222023
Orthogonal causal calibration
J Whitehouse, C Jung, V Syrgkanis, B Wilder, ZS Wu
arXiv preprint arXiv:2406.01933, 2024
72024
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
72020
Distributionally robust data join
P Awasthi, C Jung, J Morgenstern
arXiv preprint arXiv:2202.05797, 2022
62022
Taking a moment for distributional robustness
J Hastings, C Jung, C Peale, V Syrgkanis
arXiv preprint arXiv:2405.05461, 2024
32024
Control group dataset optimization
M Abdulla, C Jung, E Koenig, N Sidaway, A Svistunov, D Tiedemann, ...
US Patent 10,395,259, 2019
22019
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Articles 1–20