Christopher Jung

According to our database, Christopher Jung authored at least 14 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Online Multivalid Learning: Means, Moments, and Prediction Intervals.

Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

A new analysis of differential privacy's generalization guarantees (invited paper).

Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Adaptive Machine Unlearning.

Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Algorithmic Framework for Fairness Elicitation.

Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Moment Multicalibration for Uncertainty Estimation.

Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra

Proceedings of the Conference on Learning Theory, 2021

2020

Quantifying the Burden of Exploration and the Unfairness of Free Riding.

Christopher Jung, Sampath Kannan, Neil Lutz

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Fair Prediction with Endogenous Behavior.

Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Metric-Free Individual Fairness in Online Learning.

Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A New Analysis of Differential Privacy's Generalization Guarantees.

Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Service in Your Neighborhood: Fairness in Center Location.

Christopher Jung, Sampath Kannan, Neil Lutz

Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020

2019

A Center in Your Neighborhood: Fairness in Facility Location.

Christopher Jung, Sampath Kannan, Neil Lutz

CoRR, 2019

Eliciting and Enforcing Subjective Individual Fairness.

Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu

CoRR, 2019

Fair Algorithms for Learning in Allocation Problems.

Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Online Learning with an Unknown Fairness Metric.

Stephen Gillen, Christopher Jung, Michael J. Kearns, Aaron Roth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018