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Learning Latent Causal Structures with a Redundant Input Neural Network

Learning Latent Causal Structures with a Redundant Input Neural Network

Jonathan D. Young
Bryan Andrews
G. Cooper
Xinghua Lu
    CML
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Papers citing "Learning Latent Causal Structures with a Redundant Input Neural Network"

3 / 3 papers shown
Title
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
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
437
0
20 Feb 2013