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Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning



Yuyan Wang , Xuezhi Wang , Alex Beutel , Flavien Prost , Jilin Chen , Ed H. Chi


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Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective



Flavien Prost , Pranjal Awasthi , Nick Blumm , Aditee Kumthekar , Trevor Potter , Li Wei , Xuezhi Wang , Ed H. Chi , Jilin Chen , Alex Beutel


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Measuring Recommender System Effects with Simulated Users



Sirui Yao , Yoni Halpern , Nithum Thain , Xuezhi Wang , Kang Lee , Flavien Prost , Ed H. Chi , Jilin Chen , Alex Beutel

* Presented at Second Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES 2020) with the title "Beyond Next Step Bias: Trajectory Simulation for Understanding Recommender System Behavior" 

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Measuring and Reducing Gendered Correlations in Pre-trained Models



Kellie Webster , Xuezhi Wang , Ian Tenney , Alex Beutel , Emily Pitler , Ellie Pavlick , Jilin Chen , Slav Petrov


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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation



Tianlu Wang , Xuezhi Wang , Yao Qin , Ben Packer , Kang Li , Jilin Chen , Alex Beutel , Ed Chi

* 6 pages, accepted to EMNLP 2020 

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Fairness without Demographics through Adversarially Reweighted Learning



Preethi Lahoti , Alex Beutel , Jilin Chen , Kang Lee , Flavien Prost , Nithum Thain , Xuezhi Wang , Ed H. Chi


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Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems



Xuezhi Wang , Nithum Thain , Anu Sinha , Ed H. Chi , Jilin Chen , Alex Beutel


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Toward a better trade-off between performance and fairness with kernel-based distribution matching



Flavien Prost , Hai Qian , Qiuwen Chen , Ed H. Chi , Jilin Chen , Alex Beutel


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Transfer of Machine Learning Fairness across Domains



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


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