Causal Discovery with Cascade Nonlinear Additive Noise Models

23 May 2019Ruichu CaiJie QiaoKun ZhangZhenjie ZhangZhifeng Hao

Identification of causal direction between a causal-effect pair from observed data has recently attracted much attention. Various methods based on functional causal models have been proposed to solve this problem, by assuming the causal process satisfies some (structural) constraints and showing that the reverse direction violates such constraints... (read more)

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