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Deconfounding Scores: Feature Representations for Causal Effect
  Estimation with Weak Overlap

Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap

12 April 2021
Alexander DÁmour
Alexander M. Franks
    CML
ArXivPDFHTML

Papers citing "Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap"

3 / 3 papers shown
Title
Learning Invariant Representations with Missing Data
Learning Invariant Representations with Missing Data
Mark Goldstein
J. Jacobsen
O. Chau
A. Saporta
A. Puli
Rajesh Ranganath
Andrew C. Miller
OOD
25
5
0
01 Dec 2021
$β$-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap
βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
35
14
0
11 Oct 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
722
0
12 May 2016
1