18 citations · 37 across the 11 of their papers we have counts for
11 papers
Why Groups Matter: Necessity of Group Structures in Attributions
Dangxing Chen, Jingfeng Chen, Weicheng Ye
Explainable machine learning methods have been accompanied by substantial development. Despite their success, the existing approaches focus more on the general framework with no pr…
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
Dangxing Chen
In recent years, explainable machine learning methods have been very successful. Despite their success, most explainable machine learning methods are applied to black-box models wi…
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…
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance
Dangxing Chen, Luyao Zhang
Algorithm fairness in the application of artificial intelligence (AI) is essential for a better society. As the foundational axiom of social mechanisms, fairness consists of multip…
Interpretable Selective Learning in Credit Risk
Dangxing Chen, Weicheng Ye, Jiahui Ye
The forecasting of the credit default risk has been an important research field for several decades. Traditionally, logistic regression has been widely recognized as a solution due…
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…
Two-stage Modeling for Prediction with Confidence
Dangxing Chen
The use of neural networks has been very successful in a wide variety of applications. However, it has recently been observed that it is difficult to generalize the performance of…
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…
Does the leverage effect affect the return distribution?
Dangxing Chen
The leverage effect refers to the generally negative correlation between the return of an asset and the changes in its volatility. There is broad agreement in the literature that t…
A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications
Harbir Antil, Dangxing Chen, Scott E. Field
While the proper orthogonal decomposition (POD) is optimal under certain norms it's also expensive to compute. For large matrix sizes, it is well known that the QR decomposition pr…
A Heterogeneous FMM for 2-D Layered Media Helmholtz Equation I: Two & Three Layers Cases
Min Hyung Cho, Jingfang Huang, Dangxing Chen +1
In this paper, we will introduce a new heterogeneous fast multipole method (H-FMM) for 2-D Helmholtz equation in layered media. To illustrate the main algorithm ideas, we focus on…