The Regularization Parameter: Sparse Precision Matrix Estimation
arXiv 2607.07735•3d40d146b64f4caf596e8db968972139683a22dcba38478dfe4989b46073dbb3
active-testingarxivbayesian-experimental-designdiffusion-modelsdistributional-rlhigh-dimensional-procrustesimputationkernel-densitylipschitz-constraintsmachine-learningmodel-calibrationnumerical-stabilitypositive-semidefiniteregularizationreinforcement-learningscore-matchingsparse-precision-matrixstatistics
Paper metadata
- arXiv ID
- 2607.07735
- 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
- 3d40d146b64f4caf596e8db968972139683a22dcba38478dfe4989b46073dbb3
- Enrichment time
- 2026-07-10T07:23:55Z
- AI-assisted enrichment
- Yes
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