Publications

Sam Corbett-Davies*, Johann D. Gaebler*, Hamed Nilforoshan*, Ravi Shroff, and Sharad Goel. “The Measure and Mismeasure of Fairness”. Journal of Machine Learning Research (2023).
Johann D. Gaebler, Phoebe Barghouty, Sarah Vicol, Cheryl Phillips, and Sharad Goel. “Forgotten but not gone: A multi-state analysis of modern-day debt imprisonment”. PLOS One (2023).
William Cai, Johann Gaebler, Justin Kaashoek, Lisa Pinals, Samuel Madden, and Sharad Goel. “Measuring Racial and Ethnic Disparities in Traffic Enforcement with Large-Scale Telematics Data”. PNAS: Nexus (2022).
Johann D. Gaebler, William Cai, Guillaume Basse, Ravi Shroff, Sharad Goel, and Jennifer Hill. “A Causal Framework for Observational Studies of Discrimination”. Statistics and Public Policy (2022).
Sabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, David Rothschild, Marc Meredith, and Sharad Goel. “Blocks as geographic discontinuities: The effect of polling place assignment on voting ”. Political Analysis (2022).
Hamed Nilforoshan*, Johann Gaebler*, Ravi Shroff, and Sharad Goel. “Causal Conceptions of Fairness and Their Consequences”. International Conference on Machine Learning (2022). (ICML 2022 Outstanding Paper Award.)
William Cai, Johann D. Gaebler, Nikhil Garg, and Sharad Goel. “Fair Allocation through Selective Information Acquisition”. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Socieity (2020).
Johann Gaebler, Alexander Kastner, Cesar Silva, Xiaoyu Xu, and Zirui Zhou. “Partially Bounded Transformations have Trivial Centralizers”. Proceedings of the American Mathematical Society (2018).

Working Papers

Jongbin Jung, Sam Corbett-Davies, Johann D. Gaebler, Ravi Shroff, and Sharad Goel. “Mitigating Omitted- and Included-Variable Bias in Estimates of Disparate Impact ”. Submitted, 2024.
Johann D. Gaebler and Sharad Goel. “A Simple, Statistically Robust Test of Discrimination”. Submitted, 2024.
Johann D. Gaebler, Sharad Goel, Aziz Huq, and Prasanna Tambe. “Auditing the Use of Language Models to Guide Hiring Decisions”. Submitted, 2024.
Guanting Chen, Johann D. Gaebler, Matt Peng, Chunlin Sun, and Yinyu Ye. “An Adaptive State Aggregation Algorithm for Markov Decision Processes”. Submitted, 2021.

(*: Denotes equal contribution.)