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Measuring Recommender System Effects with Simulated Users

Jan 12, 2021
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

Oct 12, 2020
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

Oct 05, 2020
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

Jun 24, 2020
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

Nov 06, 2019
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

Oct 25, 2019
Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel

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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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