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CausalML: Python Package for Causal Machine Learning

CausalML: Python Package for Causal Machine Learning

25 February 2020
Huigang Chen
Totte Harinen
Jeong-Yoon Lee
Mike Yung
Zhenyu Zhao
    CML
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Papers citing "CausalML: Python Package for Causal Machine Learning"

5 / 5 papers shown
Title
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
Roger Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
266
1
0
15 Apr 2025
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie
Stefan Wager
CML
70
643
0
13 Dec 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using
  Machine Learning
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel
Jasjeet Sekhon
Peter J. Bickel
Bin Yu
CML
80
908
0
12 Jun 2017
Uplift Modeling with Multiple Treatments and General Response Types
Uplift Modeling with Multiple Treatments and General Response Types
Yan Zhao
X. Fang
D. Simchi-Levi
32
77
0
23 May 2017
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDa
CML
99
2,463
0
14 Oct 2015
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