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Estimation of Individual Treatment Effect in Latent Confounder Models
  via Adversarial Learning

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning

21 November 2018
Changhee Lee
Nicholas Mastronarde
M. Schaar
    FedMLCML
ArXiv (abs)PDFHTML

Papers citing "Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning"

4 / 4 papers shown
Title
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Yongqian Li
CML
80
5
0
23 Dec 2022
StudyU: a platform for designing and conducting innovative digital
  N-of-1 trials
StudyU: a platform for designing and conducting innovative digital N-of-1 trials
S. Konigorski
S. Wernicke
Tamara Slosarek
Alexander M. Zenner
Nils Strelow
...
M. Danieletto
E. Golden
M. Zweig
G. Nadkarni
E. Böttinger
70
12
0
28 Dec 2020
A Survey on Causal Inference
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
123
517
0
05 Feb 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the
  Presence of Hidden Confounders
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica
Ahmed Alaa
M. Schaar
BDLCMLAI4TS
86
114
0
01 Feb 2019
1