Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments

27 Feb 2017AmirEmad GhassamiSaber SalehkaleybarNegar Kiyavash

We study the problem of causal structure learning over a set of random variables when the experimenter is allowed to perform at most $M$ experiments in a non-adaptive manner. We consider the optimal learning strategy in terms of minimizing the portions of the structure that remains unknown given the limited number of experiments in both Bayesian and minimax setting... (read more)

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