Flavien Prost
Flavien Prost
Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
Fairness without demographics through adversarially reweighted learning
P Lahoti, A Beutel, J Chen, K Lee, F Prost, N Thain, X Wang, EH Chi
arXiv preprint arXiv:2006.13114, 2020
292020
Debiasing embeddings for reduced gender bias in text classification
F Prost, N Thain, T Bolukbasi
arXiv preprint arXiv:1908.02810, 2019
222019
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
5*2019
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
22021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
Y Wang, X Wang, A Beutel, F Prost, J Chen, EH Chi
arXiv preprint arXiv:2106.02705, 2021
2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
F Prost, P Awasthi, N Blumm, A Kumthekar, T Potter, L Wei, X Wang, ...
arXiv preprint arXiv:2105.09985, 2021
2021
Measuring Recommender System Effects with Simulated Users
S Yao, Y Halpern, N Thain, X Wang, K Lee, F Prost, EH Chi, J Chen, ...
arXiv preprint arXiv:2101.04526, 2021
2021
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