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Variational Counterfactual Prediction under Runtime Domain Corruption

Variational Counterfactual Prediction under Runtime Domain Corruption

Hechuan Wen
Tong Chen
L. K. Chai
S. Sadiq
Junbin Gao
Hongzhi Yin
    OOD
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Papers citing "Variational Counterfactual Prediction under Runtime Domain Corruption"

3 / 3 papers shown
Title
Causal Inference Through the Structural Causal Marginal Problem
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
22
19
0
02 Feb 2022
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
215
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
270
9,136
0
06 Jun 2015