Author

Meher Chaitanya

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#machine learning Preprint Sep 2026

CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs

CAST (Canonical Approximate Schur Tree) is introduced, which replaces this clique with a weighted random spanning tree sampled directly from it, and it is proved that its leverage-score marginals minimize the largest normalized reweighted-edge contribution among unbiased inverse-marginal one-tree estimators.

Meher Chaitanya, Cameron Musco, A. Gionis · 1 citation