budget allocation 1causal inference 1e-commerce 1multi-channel marketing 1policy learning 1uplift modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Multi-channel Uplift Policy Learning
Changjian Liu, Tianyu Wang, Xiaoxuan Deng +7
The paper proposes ReAlloc, a causal teacher‑student framework for allocating fixed marketing budgets across multiple e‑commerce channels, using unbiased local gradients and long‑t…
cs.LG2026
OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction
Changjian Liu, Yong Gao, Yuqing Wang +5
Origin-destination (OD) flow prediction is central to urban analytics, yet deep models trained on raw counts remain vulnerable to distribution shift. The core problem is that raw c…