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stat.ML2022
Reframed GES with a Neural Conditional Dependence Measure
Xinwei Shen, Shengyu Zhu, Jiji Zhang +2
In a nonparametric setting, the causal structure is often identifiable only up to Markov equivalence, and for the purpose of causal inference, it is useful to learn a graphical rep…
stat.ML2018★ 4 cited
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
Hanti Lin, Jiji Zhang
Consider the problem of learning, from non-experimental data, the causal (Markov equivalence) structure of the true, unknown causal Bayesian network (CBN) on a given, fixed set of…