Importantly, the summary state for each row is independent of those for other rows, allowing these computations to be performed in parallel

First, because all decision treesTu are known a priori during training, bottom-up summaries are computed from the leaves to the root of each tree

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.LG · 2025-07-30 · conditional · novelty 6.0

BiGG-E is an autoregressive generative model that jointly samples graph topology and positive edge weights with O((n+m) log n) complexity.

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Scalable Generative Modeling of Weighted Graphs cs.LG · 2025-07-30 · conditional · none · ref 1
BiGG-E is an autoregressive generative model that jointly samples graph topology and positive edge weights with O((n+m) log n) complexity.