Learning Disentangled Representations for Counterfactual Regression via
Mutual Information Minimization

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

2 June 2022

Papers citing "Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization"

13 / 13 papers shown

Title
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Qiang Huang Chuizheng Meng Defu Cao Biwei Huang Yi Chang Yan Liu 41 0 0 16 Aug 2024
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement Ahmad Saeed Khan Erik Schaffernicht J. A. Stork CML 39 0 0 29 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 45 0 0 01 Jul 2024
Self-Distilled Disentangled Learning for Counterfactual Prediction Xinshu Li Mingming Gong Lina Yao CML 35 2 0 09 Jun 2024
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation Ruijing Cui Jianbin Sun Bingyu He Kewei Yang Bingfeng Ge 30 0 0 04 Jun 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 39 0 0 26 Apr 2024
Recovering Latent Confounders from High-dimensional Proxy Variables Nathan Mankovich Homer Durand Emiliano Díaz Gherardo Varando Gustau Camps-Valls 27 0 0 21 Mar 2024
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction Yilan Zhang Yingxue Xu Jianqi Chen Fengying Xie Hao Chen 40 25 0 03 Jan 2024
Optimal Transport for Treatment Effect Estimation Hao Wang Zhichao Chen Jiajun Fan Haoxuan Li Tianqiao Liu Weiming Liu Quanyu Dai Yichao Wang Zhenhua Dong Ruiming Tang OT CML 30 35 0 27 Oct 2023
DisCover: Disentangled Music Representation Learning for Cover Song Identification Jiahao Xun Shengyu Zhang Yanting Yang Jieming Zhu Liqun Deng Zhou Zhao Zhenhua Dong Ruiqi Li Lichao Zhang Fei Wu AAML DRL 15 5 0 19 Jul 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 35 8 0 02 Feb 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016