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SurvCaus : Representation Balancing for Survival Causal Inference

SurvCaus : Representation Balancing for Survival Causal Inference

29 March 2022
Ayoub Abraich
Agathe Guilloux
Blaise Hanczar
    CML
ArXiv (abs)PDFHTML

Papers citing "SurvCaus : Representation Balancing for Survival Causal Inference"

4 / 4 papers shown
Title
Estimating heterogeneous survival treatment effect in observational data
  using machine learning
Estimating heterogeneous survival treatment effect in observational data using machine learning
Liangyuan Hu
Jiayi Ji
Fan Li
CML
78
66
0
17 Aug 2020
Enabling Counterfactual Survival Analysis with Balanced Representations
Enabling Counterfactual Survival Analysis with Balanced Representations
Paidamoyo Chapfuwa
Serge Assaad
Shuxi Zeng
Michael J. Pencina
Lawrence Carin
Ricardo Henao
CML
33
2
0
14 Jun 2020
Generalization Bounds and Representation Learning for Estimation of
  Potential Outcomes and Causal Effects
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
Fredrik D. Johansson
Uri Shalit
Nathan Kallus
David Sontag
CMLOOD
92
100
0
21 Jan 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDLCMLOOD
502
1,261
0
02 Jun 2016
1