1 code implementation • ACL 2021 • Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruofei Zhang
Transformer-based models have made tremendous impacts in natural language generation.
2 code implementations • 8 Apr 2023 • Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
As machine learning has been deployed ubiquitously across applications in modern data science, algorithmic fairness has become a great concern.
1 code implementation • 6 Nov 2020 • Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, Dylan S. Small
Unmeasured confounding is a key threat to reliable causal inference based on observational studies.
Causal Inference Methodology
no code implementations • 6 Jun 2022 • Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
Specifically, FIFA encourages both classification and fairness generalization and can be flexibly combined with many existing fair learning methods with logits-based losses.