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Zeyu Tang
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What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Z Tang, J Zhang, K Zhang
ACM Computing Surveys 55 (0360-0300), 299:1--299:37, 2023
162023
Model Transferability With Responsive Decision Subjects
Y Chen, Z Tang, K Zhang, Y Liu
The 40th International Conference on Machine Learning (ICML 2023) 202 (PMLR …, 2023
72023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Z Tang, Y Chen, Y Liu, K Zhang
The 11th International Conference on Learning Representations (ICLR 2023), 2023
62023
Attainability and Optimality: The Equalized Odds Fairness Revisited
Z Tang, K Zhang
The 1st Conference on Causal Learning and Reasoning (CLeaR 2022), 754-786, 2022
62022
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework
J Li*, Z Tang*, X Liu, P Spirtes, K Zhang, L Leqi, Y Liu
arXiv preprint arXiv:2403.08743, 2024
12024
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Z Tang, J Wang, Y Liu, P Spirtes, K Zhang
The 12th International Conference on Learning Representations (ICLR 2024), 2024
12024
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Articles 1–6