Weicheng Ye

11 papers A* 1Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Generalized Groves of Neural Additive Models: Pursuing Transparent Machine Learning Models in Finance. CIFEr Dangxing Chen, Weicheng Ye
2024	—	`conf`	Why Groups Matter: Necessity of Group Structures in Attributions. ICAIF Dangxing Chen, Jingfeng Chen, Weicheng Ye
2023	A*	`conf`	How to address monotonicity for model risk management? ICML Dangxing Chen, Weicheng Ye
2023	J	`jnl`	How to address monotonicity for model risk management? CoRR Dangxing Chen, Weicheng Ye
2023	J	`jnl`	Probing sign structure using measurement-induced entanglement. Quantum Cheng-Ju Lin, Weicheng Ye, Yijian Zou, Shengqi Sang, Timothy H. Hsieh
2022	J	`jnl`	Generalized Gloves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance. CoRR Dangxing Chen, Weicheng Ye
2022	J	`jnl`	Interpretable Selective Learning in Credit Risk. CoRR Dangxing Chen, Weicheng Ye, Jiahui Ye
2022	—	`conf`	Learning Algorithm in Two-Stage Selective Prediction. CACML Weicheng Ye, Dangxing Chen, Ilqar Ramazanli
2022	—	`conf`	Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring. ICAIF Dangxing Chen, Weicheng Ye
2022	J	`jnl`	Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring. CoRR Dangxing Chen, Weicheng Ye
2020	—	`conf`	Towards Practical Lipschitz Bandits. FODS Tianyu Wang, Weicheng Ye, Dawei Geng, Cynthia Rudin