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Found 2 papers, 1 papers with code
Distributed Learning of Generalized Linear Causal Networks
We consider the task of learning causal structures from data stored on multiple machines, and propose a novel structure learning method called distributed annealing on regularized likelihood score (DARLS) to solve this problem.
Optimizing regularized Cholesky score for order-based learning of Bayesian networks
We propose a novel structure learning method, annealing on regularized Cholesky score (ARCS), to search over topological sorts, or permutations of nodes, for a high-scoring Bayesian network.
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