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Auto IV: Counterfactual Prediction via Automatic Instrumental Variable
  Decomposition

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

13 July 2021
Junkun Yuan
Anpeng Wu
Kun Kuang
B. Li
Runze Wu
Fei Wu
Lanfen Lin
    CML
ArXivPDFHTML

Papers citing "Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition"

15 / 15 papers shown
Title
Sequential Treatment Effect Estimation with Unmeasured Confounders
Sequential Treatment Effect Estimation with Unmeasured Confounders
Yingrong Wang
Anpeng Wu
B. Li
Ziyang Xiao
Ruoxuan Xiong
Qing Han
Kun Kuang
CML
25
0
0
14 May 2025
Structure Causal Models and LLMs Integration in Medical Visual Question Answering
Structure Causal Models and LLMs Integration in Medical Visual Question Answering
Zibo Xu
Qiang Li
Weizhi Nie
Weijie Wang
Anan Liu
CML
MedIm
42
0
0
05 May 2025
Leaning Time-Varying Instruments for Identifying Causal Effects in
  Time-Series Data
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
T. Le
Xudong Guo
Shichao Zhang
CML
67
0
0
26 Nov 2024
Self-Distilled Disentangled Learning for Counterfactual Prediction
Self-Distilled Disentangled Learning for Counterfactual Prediction
Xinshu Li
Mingming Gong
Lina Yao
CML
21
2
0
09 Jun 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and
  Long-term Treatment Effects
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
Yingrong Wang
Anpeng Wu
Haoxuan Li
Weiming Liu
Qiaowei Miao
Ruoxuan Xiong
Fei Wu
Kun Kuang
42
0
0
05 Mar 2024
Adaptive Instrument Design for Indirect Experiments
Adaptive Instrument Design for Indirect Experiments
Yash Chandak
Shiv Shankar
Vasilis Syrgkanis
Emma Brunskill
38
4
0
05 Dec 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable
  Variational Autoencoder
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
Ziqi Xu
Debo Cheng
Jiuyong Li
Jixue Liu
Lin Liu
Kui Yu
CML
21
9
0
03 Oct 2023
Instrumental Variable Learning for Chest X-ray Classification
Instrumental Variable Learning for Chest X-ray Classification
Weizhi Nie
Chen Zhang
Dan Song
Yunpeng Bai
Keliang Xie
Anan Liu
CML
24
3
0
20 May 2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door
  Criterion
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
Ziqi Xu
Debo Cheng
Jiuyong Li
Jixue Liu
Lin Liu
Kui Yu
CML
18
2
0
24 Apr 2023
Instrumental Variables in Causal Inference and Machine Learning: A
  Survey
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Fei Wu
SyDa
CML
18
6
0
12 Dec 2022
Causal Inference with Conditional Instruments using Deep Generative
  Models
Causal Inference with Conditional Instruments using Deep Generative Models
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
21
11
0
29 Nov 2022
Learning Instrumental Variable from Data Fusion for Treatment Effect
  Estimation
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Minqing Zhu
Yuxuan Liu
Bo Li
Furui Liu
Zhihua Wang
Fei Wu
CML
20
7
0
23 Aug 2022
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
25
26
0
20 Aug 2022
Instrumental Variable-Driven Domain Generalization with Unobserved
  Confounders
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Junkun Yuan
Xu Ma
Ruoxuan Xiong
Mingming Gong
Xiangyu Liu
Fei Wu
Lanfen Lin
Kun Kuang
OOD
CML
18
11
0
04 Oct 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
719
0
12 May 2016
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