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Sufficient Dimension Reduction for Average Causal Effect Estimation

Sufficient Dimension Reduction for Average Causal Effect Estimation

14 September 2020
Debo Cheng
Jiuyong Li
Lin Liu
Jixue Liu
    CML
ArXivPDFHTML

Papers citing "Sufficient Dimension Reduction for Average Causal Effect Estimation"

4 / 4 papers shown
Title
Accurate Use of Label Dependency in Multi-Label Text Classification
  Through the Lens of Causality
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
52
6
0
11 Oct 2023
Data-Driven Causal Effect Estimation Based on Graphical Causal
  Modelling: A Survey
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
Debo Cheng
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
41
29
0
20 Aug 2022
Identifiable Energy-based Representations: An Application to Estimating
  Heterogeneous Causal Effects
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang
Jeroen Berrevoets
M. Schaar
CML
36
6
0
06 Aug 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect
  Estimation
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald
Dmitriy A. Katz-Rogozhnikov
Karthikeyan Shanmugam
CML
41
9
0
03 Nov 2020
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