PRAXIS approximates decision tree Rashomon sets with major runtime and memory improvements while recovering nearly the full set on tested data.
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CRUMB speeds up PFN inference on large tabular datasets by clustering queries and selecting MMD-matched context subsets, outperforming prior selection methods on the 51-dataset TabArena benchmark across three architectures while handling covariate drift.
citing papers explorer
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From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
PRAXIS approximates decision tree Rashomon sets with major runtime and memory improvements while recovering nearly the full set on tested data.
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CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
CRUMB speeds up PFN inference on large tabular datasets by clustering queries and selecting MMD-matched context subsets, outperforming prior selection methods on the 51-dataset TabArena benchmark across three architectures while handling covariate drift.