Showing cs.LGShow all
3 papers · 1 filter
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,…
cs.LG2024
Automated Machine Learning in Insurance
Panyi Dong, Zhiyu Quan
Machine Learning (ML) has gained popularity in actuarial research and insurance industrial applications. However, the performance of most ML tasks heavily depends on data preproces…
cs.LG2024
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
Panyi Dong, Zhiyu Quan, Brandon Edwards +5
The report demonstrates the benefits (in terms of improved claims loss modeling) of harnessing the value of Federated Learning (FL) to learn a single model across multiple insuranc…