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Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects
  Estimation

Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation

12 February 2021
A. Caron
G. Baio
I. Manolopoulou
    CML
ArXivPDFHTML

Papers citing "Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation"

4 / 4 papers shown
Title
Counterfactual Learning with Multioutput Deep Kernels
Counterfactual Learning with Multioutput Deep Kernels
A. Caron
G. Baio
I. Manolopoulou
BDL
CML
OffRL
10
1
0
20 Nov 2022
Interpretable Deep Causal Learning for Moderation Effects
Interpretable Deep Causal Learning for Moderation Effects
A. Caron
G. Baio
I. Manolopoulou
CML
OOD
17
2
0
21 Jun 2022
Estimating Individual Treatment Effects using Non-Parametric Regression
  Models: a Review
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
A. Caron
G. Baio
I. Manolopoulou
CML
21
52
0
14 Sep 2020
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
718
0
12 May 2016
1