GS-BART extends BART to use graph-split decision rules on arborescence encodings of features, with an informed MCMC sampler, and shows predictive gains on spatial and network data.
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GS-BART: Bayesian Additive Regression Trees with Graph-split Decision Rules
GS-BART extends BART to use graph-split decision rules on arborescence encodings of features, with an informed MCMC sampler, and shows predictive gains on spatial and network data.