Tree Ensembles on the Induced Discrete Space
PulseAugur coverage of Tree Ensembles on the Induced Discrete Space — every cluster mentioning Tree Ensembles on the Induced Discrete Space across labs, papers, and developer communities, ranked by signal.
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Kernel of Partition Paths unifies tree ensemble representations
A new paper introduces the Kernel of Partition Paths (KPP), a novel representation for tree ensembles that unifies prediction, attribution, and robustness guarantees. KPP indexes the feature map by forest nodes, using a…
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New RuleSHAP framework enhances ML inference for epidemiological data
Researchers have developed a new framework called RuleSHAP to improve statistical inference for machine learning models in epidemiology. This framework integrates Bayesian regression, tree ensembles, and Shapley values …
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New PINE method boosts tree ensemble compression by 30%
Researchers have developed PINE, a novel pruning method for tree ensembles designed to improve compression ratios while maintaining prediction consistency within an in-distribution region. Unlike existing faithful pruni…