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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"

3 / 3 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
49
6
0
11 Oct 2023
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
5
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
39
9
0
03 Nov 2020
1