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Reliable Estimation of Individual Treatment Effect with Causal
  Information Bottleneck

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck

7 June 2019
Sungyub Kim
Yong-Ho Baek
Sung Ju Hwang
Eunho Yang
    CML
ArXivPDFHTML

Papers citing "Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck"

6 / 6 papers shown
Title
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by
  Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean
Sang Michael Xie
Stefano Ermon
BDL
SSL
54
76
0
26 May 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
132
2,992
0
08 Nov 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task
  Gaussian Processes
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed Alaa
M. Schaar
CML
131
300
0
10 Apr 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
247
4,646
0
17 Feb 2017
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
271
726
0
12 May 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
359
9,418
0
28 May 2015
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