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Meher Chaitanya

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#artificial intelligence Preprint Oct 2026

Does Muon Need Fine-Grained Spectral Shaping?

Muon combines current and past gradients into matrix momentum. For $M=U\Sigma V^\top$, the idealized polar update $Q=UV^\top$ gives every singular direction the same weight. We refer to this as the flat profile. Several recent optimizers replace this flat profile with fine-grained spectral maps that give each direction...

Meher Chaitanya, Tian-Yi Zhou, A. Gionis · 0 citations
#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

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