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Journal Articles
- 2018
[j3]Harbir Antil
, Dangxing Chen, Scott E. Field:
A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications. Comput. Sci. Eng. 20(4): 10-25 (2018)- [j2]Min Hyung Cho, Jingfang Huang, Dangxing Chen, Wei Cai:
A heterogeneous FMM for layered media Helmholtz equation I: Two layers in R2. J. Comput. Phys. 369: 237-251 (2018) - 2016
- [j1]Wenzhen Qu, Namdi Brandon, Dangxing Chen, Jingfang Huang, Tyler Kress:
A Numerical Framework for Integrating Deferred Correction Methods to Solve High Order Collocation Formulations of ODEs. J. Sci. Comput. 68(2): 484-520 (2016)
Conference and Workshop Papers
- 2024
- [c5]Dangxing Chen, Jingfeng Chen, Weicheng Ye:
Why Groups Matter: Necessity of Group Structures in Attributions. ICAIF 2024: 63-71 - 2023
- [c4]Dangxing Chen, Weicheng Ye:
How to address monotonicity for model risk management? ICML 2023: 5282-5295 - 2022
- [c3]Weicheng Ye, Dangxing Chen, Ilqar Ramazanli:
Learning Algorithm in Two-Stage Selective Prediction. CACML 2022: 512-521 - [c2]Dangxing Chen, Weicheng Ye:
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring. ICAIF 2022: 70-78 - [c1]Dangxing Chen:
Two-stage Modeling for Prediction with Confidence. ICTAI 2022: 1-5
Informal and Other Publications
- 2024
- [i9]Dangxing Chen, Yuan Gao:
Attribution Methods in Asset Pricing: Do They Account for Risk? CoRR abs/2407.08953 (2024) - 2023
- [i8]Dangxing Chen, Luyao Zhang:
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance. CoRR abs/2301.07060 (2023) - [i7]Dangxing Chen, Weicheng Ye:
How to address monotonicity for model risk management? CoRR abs/2305.00799 (2023) - [i6]Dangxing Chen:
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models. CoRR abs/2309.13246 (2023) - 2022
- [i5]Dangxing Chen:
Two-stage Modeling for Prediction with Confidence. CoRR abs/2209.08848 (2022) - [i4]Dangxing Chen, Weicheng Ye:
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring. CoRR abs/2209.10070 (2022) - [i3]Dangxing Chen, Weicheng Ye:
Generalized Gloves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance. CoRR abs/2209.10082 (2022) - [i2]Dangxing Chen, Weicheng Ye, Jiahui Ye:
Interpretable Selective Learning in Credit Risk. CoRR abs/2209.10127 (2022) - 2018
- [i1]Harbir Antil, Dangxing Chen, Scott E. Field:
A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications. CoRR abs/1805.06124 (2018)
Coauthor Index
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