Weicheng Ye

According to our database, Weicheng Ye authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Why Groups Matter: Necessity of Group Structures in Attributions.

Dangxing Chen, Jingfeng Chen, Weicheng Ye

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Probing sign structure using measurement-induced entanglement.

Cheng-Ju Lin, Weicheng Ye, Yijian Zou, Shengqi Sang, Timothy H. Hsieh

Quantum, February, 2023

How to address monotonicity for model risk management?

Dangxing Chen, Weicheng Ye

Proceedings of the International Conference on Machine Learning, 2023

2022

Interpretable Selective Learning in Credit Risk.

Dangxing Chen, Weicheng Ye, Jiahui Ye

CoRR, 2022

Generalized Gloves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance.

Dangxing Chen, Weicheng Ye

CoRR, 2022

Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring.

Dangxing Chen, Weicheng Ye

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Learning Algorithm in Two-Stage Selective Prediction.

Weicheng Ye, Dangxing Chen, Ilqar Ramazanli

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2020

Towards Practical Lipschitz Bandits.

Tianyu Wang, Weicheng Ye, Dawei Geng, Cynthia Rudin

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020