60 citations · 138 across the 9 of their papers we have counts for
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cs.LG2023
How to address monotonicity for model risk management?
Dangxing Chen, Weicheng Ye
In this paper, we study the problem of establishing the accountability and fairness of transparent machine learning models through monotonicity. Although there have been numerous s…
cs.LG2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring
Dangxing Chen, Weicheng Ye
The forecasting of credit default risk has been an active research field for several decades. Historically, logistic regression has been used as a major tool due to its compliance…
cs.LG2022★ 3 cited
Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance
Dangxing Chen, Weicheng Ye
While machine learning methods have significantly improved model performance over traditional methods, their black-box structure makes it difficult for researchers to interpret res…