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Transfer of Machine Learning Fairness across Domains


Jun 26, 2019
Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi


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Fairness in Recommendation Ranking through Pairwise Comparisons


Mar 02, 2019
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow


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Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements


Jan 14, 2019
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi


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Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations


Jul 07, 2017
Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi

* Presented as a poster at the 2017 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2017) 

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Why Are You More Engaged? Predicting Social Engagement from Word Use


Feb 26, 2014
Jalal Mahmud, Jilin Chen, Jeffrey Nichols


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