Christopher Jung

38 papers A* 11A 2C 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expectation Error Bounds for Transfer Learning in Linear Regression and Linear Neural Networks.
CoRR
Meitong Liu, Christopher Jung, Rui Li, Xue Feng, Han Zhao
2025 J jnl
Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models.
CoRR
Hyunin Lee, Yong Zhang, Hoang Vu Nguyen, Xiaoyi Liu, Namyong Park, Christopher Jung, Rong Jin, Yang Wang, Zhigang Wang, Somayeh Sojoudi, Xue Feng
2025 A* conf
Orthogonal Causal Calibration (Extended Abstract).
COLT
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
2024 A* conf
Oracle Efficient Online Multicalibration and Omniprediction.
SODA
Sumegha Garg, Christopher Jung, Omer Reingold, Aaron Roth
2024 J jnl
Orthogonal Causal Calibration.
CoRR
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
2024 J jnl
Taking a Moment for Distributional Robustness.
CoRR
Jabari Hastings, Christopher Jung, Charlotte Peale, Vasilis Syrgkanis
2023 A* conf
Batch Multivalid Conformal Prediction.
ICLR
Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
2023 — conf
Distributionally Robust Data Join.
FORC
Pranjal Awasthi, Christopher Jung, Jamie Morgenstern
2023 C conf
Multicalibrated Regression for Downstream Fairness.
AIES
Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth
2023 J jnl
Oracle Efficient Online Multicalibration and Omniprediction.
CoRR
Sumegha Garg, Christopher Jung, Omer Reingold, Aaron Roth
2022 J jnl
Batch Multivalid Conformal Prediction.
CoRR
Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
2022 J jnl
Distributionally Robust Data Join.
CoRR
Pranjal Awasthi, Christopher Jung, Jamie Morgenstern
2022 J jnl
Multicalibrated Regression for Downstream Fairness.
CoRR
Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth
2022 A conf
Online Multivalid Learning: Means, Moments, and Prediction Intervals.
ITCS
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth
2022 A* conf
Practical Adversarial Multivalid Conformal Prediction.
NeurIPS
Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
2022 J jnl
Practical Adversarial Multivalid Conformal Prediction.
CoRR
Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
2021 A* conf
A new analysis of differential privacy's generalization guarantees (invited paper).
STOC
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2021 A* conf
Adaptive Machine Unlearning.
NeurIPS
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
2021 J jnl
Adaptive Machine Unlearning.
CoRR
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites
2021 — conf
An Algorithmic Framework for Fairness Elicitation.
FORC
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu
2021 A* conf
Moment Multicalibration for Uncertainty Estimation.
COLT
Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2021 J jnl
Online Multivalid Learning: Means, Moments, and Prediction Intervals.
CoRR
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth
2020 A conf
A New Analysis of Differential Privacy's Generalization Guarantees.
ITCS
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2020 A* conf
Fair Prediction with Endogenous Behavior.
EC
Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2020 J jnl
Fair Prediction with Endogenous Behavior.
CoRR
Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2020 A* conf
Metric-Free Individual Fairness in Online Learning.
NeurIPS
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
2020 J jnl
Metric-Free Individual Fairness in Online Learning.
CoRR
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu
2020 J jnl
Moment Multicalibration for Uncertainty Estimation.
CoRR
Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2020 A* conf
Quantifying the Burden of Exploration and the Unfairness of Free Riding.
SODA
Christopher Jung, Sampath Kannan, Neil Lutz
2020 — conf
Service in Your Neighborhood: Fairness in Center Location.
FORC
Christopher Jung, Sampath Kannan, Neil Lutz
2019 J jnl
A Center in Your Neighborhood: Fairness in Facility Location.
CoRR
Christopher Jung, Sampath Kannan, Neil Lutz
2019 J jnl
A New Analysis of Differential Privacy's Generalization Guarantees.
CoRR
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
2019 J jnl
Eliciting and Enforcing Subjective Individual Fairness.
CoRR
Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu
2019 — conf
Fair Algorithms for Learning in Allocation Problems.
FAT
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman
2018 J jnl
Fair Algorithms for Learning in Allocation Problems.
CoRR
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman
2018 A* conf
Online Learning with an Unknown Fairness Metric.
NeurIPS
Stephen Gillen, Christopher Jung, Michael J. Kearns, Aaron Roth
2018 J jnl
Online Learning with an Unknown Fairness Metric.
CoRR
Stephen Gillen, Christopher Jung, Michael J. Kearns, Aaron Roth
2018 J jnl
Quantifying the Burden of Exploration and the Unfairness of Free Riding.
CoRR
Christopher Jung, Sampath Kannan, Neil Lutz