Gradient-Based Neural DAG Learning

Philippe Brouillard
Philippe Brouillard
Tristan Deleu
Tristan Deleu

ICLR, 2020.

Cited by: 0|Views26
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Abstract:

We propose a novel score-based approach to learning a directed acyclic graph (DAG) from observational data. We adapt a recently proposed continuous constrained optimization formulation to allow for nonlinear relationships between variables using neural networks. This extension allows to model complex interactions while avoiding the combin...More

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