DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks

The combinatorial search space presents a significant challenge to learning causality from data. Recently, the problem has been formulated into a continuous optimization framework with an acyclicity constraint, allowing for the exploration of deep generative models to better capture data sample dist...

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Petkov, Hristo, Hanley, Colin, Feng, Dong
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Combinatorial analysis Computer Science - Learning Generative adversarial networks Graph theory Optimization Statistics - Machine Learning
Online-Zugang:	Volltext
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