Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning

The dataset used in the paper is a set of experiments for causal structure learning through multi-perturbation interventions.

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Scott Sussex, Andreas Krause, Caroline Uhler (2024). Dataset: Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning. https://doi.org/10.57702/ajecjpfs

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2105.14024
Author Scott Sussex
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Andreas Krause
Caroline Uhler