Flavien Prost

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Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
James Atwood
Tina Tian
Ben Packer
Meghana Deodhar
Jilin Chen
Alex Beutel
Flavien Prost
Ahmad Beirami
The Second Workshop on Spurious Correlations, Invariance and Stability @ ICML 2023 (2023)
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning
Yuyan Wang
Xuezhi Wang
Alex Beutel
Flavien Prost
Jilin Chen
Ed H. Chi
KDD 2021 (2021)
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
Aditee Ajit Kumthekar
Alex Beutel
Ed H. Chi
Flavien Prost
Jilin Chen
Li Wei
Nick Blumm
Pranjal Awasthi
Trevor Potter
Xuezhi Wang
AIES (2021)
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Xuezhi Wang
Nithum Thain
Anu Aradhana Sinha
Flavien Prost
Ed H. Chi
Jilin Chen
Alex Beutel
WSDM 2021
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti
Alex Beutel
Jilin Chen
Kang Lee
Flavien Prost
Nithum Thain
Xuezhi Wang
Ed H. Chi
Advances in Neural Information Processing Systems 33 (2020)
Toward a better trade-off between performance and fairness with kernel-based distribution matching
Flavien Prost
Hai Qian
Ed H. Chi
Jilin Chen
Alex Beutel
Neurips (2019)
Debiasing Embeddings for Fairer Text Classification
Flavien Prost
Nithum Thain
Tolga Bolukbasi
1st ACL Workshop on Gender Bias for Natural Language Processing (2019)
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