3 papers
cs.LG2025
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Xiaopeng Ke, Yihan Yu, Ruyue Zhang +4
Counterfactual causal inference faces significant challenges when extended to multi-category, multi-valued treatments, where complex cross-effects between heterogeneous interventio…
cs.LG2025
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling
Ruyue Zhang, Xiaopeng Ke, Ming Liu +3
Uplift modeling has emerged as a crucial technique for individualized treatment effect estimation, particularly in fields such as marketing and healthcare. Modeling uplift effects…
cs.LG2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams
Baining Chen, Yiming Zhang, Yuqiao Han +6
Causal effect estimation has been widely used in marketing optimization. The framework of an uplift model followed by a constrained optimization algorithm is popular in practice. T…