Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions
This work proposes Jigsaw-CRL, a framework for recovering global latent causal order from a fragmented multi-client setting, where multiple clients interact with the same global latent causal system but each client only accesses and intervenes on a subset of the latent variables.
Hai-Jie Xu, Chen Zhang
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