46 citations · 58 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 8 cited
Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect
Zhenyu Zhao, Yumin Zhang, Totte Harinen +1
Uplift modeling is a causal learning technique that estimates subgroup-level treatment effects. It is commonly used in industry and elsewhere for tasks such as targeting ads. In a…
cs.CY2020★ 46 cited
CausalML: Python Package for Causal Machine Learning
Huigang Chen, Totte Harinen, Jeong-Yoon Lee +2
CausalML is a Python implementation of algorithms related to causal inference and machine learning. Algorithms combining causal inference and machine learning have been a trending…