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Neural Causal Models Under Markov Equivalence

This work introduces Masked Neural Causal Models (NCMs), a provably expressive nonparametric framework for simulating and bounding interventional queries over all models compatible with a given CPDAG given observational data, and gives an optimization objective in the space of masked NCMs that asymptotically recovers t...

Adiba Ejaz, Yu-Shu Pan, Hong Yang et al. · 0 citations

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