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It is a long-standing question to discover causal relations among a set of variables in many empirical sciences.
Learning Bayesian networks is NP-complete
David Maxwell Chickering · 1996
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Learning bayesian networks with thousands of variables
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Reinforcement Learning: An Introduction
Richard S Sutton and Andrew G Barto · 2018
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Xun Zheng, Bryon Aragam, Pradeep K Ravikumar, and Eric P Xing · 2018
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Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen, and Jun Wang · 2019
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Irwan Bello, Hieu Pham, Quoc V Le, Mohammad Norouzi, and Samy Bengio · 2016
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Ordering-based causal structure learning in the presence of latent variables
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Gradient-based neural DAG learning
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Learning sparse nonparametric DAGs
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Shengyu Zhu, Ignavier Ng, and Zhitang Chen · 2020
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