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Interpretable Deep Causal Learning for Moderation Effects

Interpretable Deep Causal Learning for Moderation Effects

21 June 2022
A. Caron
G. Baio
I. Manolopoulou
    CML
    OOD
ArXivPDFHTML

Papers citing "Interpretable Deep Causal Learning for Moderation Effects"

5 / 5 papers shown
Title
Counterfactual Learning with Multioutput Deep Kernels
Counterfactual Learning with Multioutput Deep Kernels
A. Caron
G. Baio
I. Manolopoulou
BDL
CML
OffRL
25
1
0
20 Nov 2022
Causal Effect Inference for Structured Treatments
Causal Effect Inference for Structured Treatments
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
177
50
0
03 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
719
0
12 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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