Search Results for author: Ting Ye

Found 3 papers, 2 papers with code

FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

no code implementations6 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.

Classification Fairness

Instrumented Difference-in-Differences

1 code implementation6 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

Cannot find the paper you are looking for? You can Submit a new open access paper.