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cs.LG2026
Efficient and Interpretable Transformer for Counterfactual Fairness
Panyi Dong, Zhiyu Quan
The growing reliance of machine learning models in high-stakes, highly regulated domains such as finance and insurance has created a growing tension between predictive performance,…
stat.ML2026
Starting Off on the Wrong Foot: Pitfalls in Data Preparation
Jiayi Guo, Panyi Dong, Zhiyu Quan
When working with real-world insurance data, practitioners often encounter challenges during the data preparation stage that can undermine the statistical validity and reliability…