14 citations · 14 across the 4 of their papers we have counts for
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cs.LG2023
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
Fanglan Zheng, Menghan Wang, Kun Li +2
In this manuscript (ms), we propose causal inference based single-branch ensemble trees for uplift modeling, namely CIET. Different from standard classification methods for predict…
cs.LG2020★ 14 cited
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring
Fanglan Zheng, Erihe, Kun Li +2
With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scor…
cs.LG2020
A Federated F-score Based Ensemble Model for Automatic Rule Extraction
Kun Li, Fanglan Zheng, Jiang Tian +1
In this manuscript, we propose a federated F-score based ensemble tree model for automatic rule extraction, namely Fed-FEARE. Under the premise of data privacy protection, Fed-FEAR…