Flavien Prost
Flavien Prost
Google Brain
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Fairness without demographics through adversarially reweighted learning
P Lahoti, A Beutel, J Chen, K Lee, F Prost, N Thain, X Wang, E Chi
Advances in neural information processing systems 33, 728-740, 2020
Debiasing embeddings for reduced gender bias in text classification
F Prost, N Thain, T Bolukbasi
arXiv preprint arXiv:1908.02810, 2019
Measuring Recommender System Effects with Simulated Users
S Yao, Y Halpern, N Thain, X Wang, K Lee, F Prost, AB H. Chi, Jilin Chen
2nd Workshop on Fairness, Accountability, Transparency, Ethics and Society …, 2020
Practical compositional fairness: Understanding fairness in multi-component recommender systems
X Wang, N Thain, A Sinha, F Prost, EH Chi, J Chen, A Beutel
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Toward a better trade-off between performance and fairness with kernel-based distribution matching
F Prost, H Qian, Q Chen, EH Chi, J Chen, A Beutel
arXiv preprint arXiv:1910.11779, 2019
Understanding and improving fairness-accuracy trade-offs in multi-task learning
Y Wang, X Wang, A Beutel, F Prost, J Chen, EH Chi
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Measuring model fairness under noisy covariates: A theoretical perspective
F Prost, P Awasthi, N Blumm, A Kumthekar, T Potter, L Wei, X Wang, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 873-883, 2021
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