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Structural Causal Bottleneck Models

Bing, Simon et al.
arXiv (All) · Papers
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machine-learning
We introduce structural causal bottleneck models (SCBMs), a novel class of structural causal models in which causal effects between high-dimensional variables are mediated by low-dimensional summary statistics, or *bottlenecks*. SCBMs provide a flexible framework for mechanism-specific, target-depen
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