Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
arXiv 2604.20907•5a3728621d8535c22fd0bac77f2842b4144d38982c51bd7dfc8d5b10e8c0bf21
AIPWCLTKesten-StigumMMDOLSRAW-UCBSGDSinkhornWGANbanditscalibrationchaotic-systemsconformal-predictioncovariance-estimationdebiased-estimatorgraph-clusteringhypergraphkernel-methodsneural-operatorsnon-backtracking-operatoronline-inferenceoptimal-transportrotting-banditssemisupervised-learningsystem-identification
Paper metadata
- arXiv ID
- 2604.20907
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 5a3728621d8535c22fd0bac77f2842b4144d38982c51bd7dfc8d5b10e8c0bf21
- Enrichment time
- 2026-04-24T07:23:56Z
- AI-assisted enrichment
- Yes
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