Weighted doubly robust learning: An uplift modeling technique for estimating mixed treatments' effect
B Zhan, C Liu, Y Li, C Wu - Decision Support Systems, 2024 - Elsevier
Estimating the effect of mixed treatments is a crucial problem in causal inference. While
previous studies have focused on econometric analysis, few have positioned the mixed …
previous studies have focused on econometric analysis, few have positioned the mixed …
The value of last-mile delivery in online retail
Last-mile delivery refers to the final leg of shipment in which packages are moved from a
local transportation hub to end-customers. It is known to be the most expensive part of …
local transportation hub to end-customers. It is known to be the most expensive part of …
[HTML][HTML] Quantifying uncertainty of uplift: Trees and T-learners
Uplift modeling refers to the task of estimating the causal effect of a treatment on an
individual, also known as the conditional average treatment effect. However, uplift models …
individual, also known as the conditional average treatment effect. However, uplift models …
[PDF][PDF] Uplift Modeling with Click-Stream Data
O Nyberg - 2023 - helda.helsinki.fi
Uplift modeling is a form of causal inference on an individual level using machine learning
methods. It is used in a handful of fields, namely e-commerce, social sciences, and medical …
methods. It is used in a handful of fields, namely e-commerce, social sciences, and medical …