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Christopher Jung
Christopher Jung
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Online learning with an unknown fairness metric
S Gillen, C Jung, M Kearns, A Roth
Advances in neural information processing systems 31, 2018
1692018
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
1342021
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
96*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
932019
Moment multicalibration for uncertainty estimation
C Jung, C Lee, M Pai, A Roth, R Vohra
Conference on Learning Theory, 2634-2678, 2021
632021
Metric-free individual fairness in online learning
Y Bechavod, C Jung, SZ Wu
Advances in neural information processing systems 33, 11214-11225, 2020
552020
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
472022
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
442019
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
422020
A center in your neighborhood: Fairness in facility location
C Jung, S Kannan, N Lutz
arXiv preprint arXiv:1908.09041, 2019
422019
Online multivalid learning: Means, moments, and prediction intervals
V Gupta, C Jung, G Noarov, MM Pai, A Roth
arXiv preprint arXiv:2101.01739, 2021
402021
Batch multivalid conformal prediction
C Jung, G Noarov, R Ramalingam, A Roth
arXiv preprint arXiv:2209.15145, 2022
312022
Service in your neighborhood: Fairness in center location
C Jung, S Kannan, N Lutz
Foundations of Responsible Computing (FORC), 2020
252020
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
112024
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
82023
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
42020
Distributionally robust data join
P Awasthi, C Jung, J Morgenstern
arXiv preprint arXiv:2202.05797, 2022
32022
Control group dataset optimization
M Abdulla, C Jung, E Koenig, N Sidawy, A Svistunov, D Tiedemann, ...
US Patent 11232459B1, 2022
12022
Control group dataset optimization
M Abdulla, C Jung, E Koenig, N Sidaway, A Svistunov, D Tiedemann, ...
US Patent 10,395,259, 2019
12019
Orthogonal Causal Calibration
J Whitehouse, C Jung, V Syrgkanis, B Wilder, ZS Wu
arXiv preprint arXiv:2406.01933, 2024
2024
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