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Auditing Fairness under Unobserved Confounding
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
18 March 2024
Yewon Byun
Dylan Sam
Michael Oberst
Zachary Chase Lipton
Bryan Wilder
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Papers citing
"Auditing Fairness under Unobserved Confounding"
6 / 6 papers shown
Cost Efficient Fairness Audit Under Partial Feedback
Nirjhar Das
Mohit Sharma
Praharsh Nanavati
Kirankumar Shiragur
Amit Deshpande
MLAU
309
0
0
04 Oct 2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
A. Majumdar
Deborah D. Kanubala
Kavya Gupta
Isabel Valera
FaML
459
0
0
28 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
CML
1.4K
6
0
28 Feb 2025
Accounting for Missing Covariates in Heterogeneous Treatment Estimation
Khurram Yamin
Vibhhu Sharma
Ed Kennedy
Bryan Wilder
162
0
0
21 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
Neural Information Processing Systems (NeurIPS), 2024
Jake Fawkes
Nic Fishman
Mel Andrews
Zachary C. Lipton
484
7
0
12 Oct 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
Kevin Ren
Yewon Byun
Bryan Wilder
OffRL
314
4
0
04 Jul 2024
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