Sufficient Dimension Reduction for Average Causal Effect Estimation

14 September 2020

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

6 / 6 papers shown

Title
Recovering Latent Confounders from High-dimensional Proxy Variables Nathan Mankovich Homer Durand Emiliano Díaz Gherardo Varando Gustau Camps-Valls 48 0 0 21 Mar 2024
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 122 6 0 11 Oct 2023
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
Neural Score Matching for High-Dimensional Causal Inference Oscar Clivio Fabian Falck B. Lehmann George Deligiannidis Chris Holmes CML 66 8 0 01 Mar 2022
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Yao Zhang Jeroen Berrevoets M. Schaar CML 84 6 0 06 Aug 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald Dmitriy A. Katz-Rogozhnikov Karthikeyan Shanmugam CML 99 9 0 03 Nov 2020