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Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency ,
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Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigatio..:
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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ,
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A Statistical Interpretation of the Maximum Subarray Proble:
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Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society ,
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Stress-Testing Bias Mitigation Algorithms to Understand Fai..:
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ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ,
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Treatment Effect Estimation Using Invariant Risk Minimizati..:
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Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency ,
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AI explainability 360 : hands-on tutorial:
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Proceedings of the ACM Conference on Health, Inference, and Learning ,
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Interpretable subgroup discovery in treatment effect estima..:
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2020 IEEE International Symposium on Information Theory (ISIT) ,
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Model Projection: Theory and Applications to Fair Machine L..:
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Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society ,
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Fair Transfer Learning with Missing Protected Attributes:
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Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society ,
14