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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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2 results for “Stack-SVD”

Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matricesmath.ST

Study optimizes shared singular subspace estimation from noisy matrices.

problem Estimating shared singular subspaces across multiple noisy matrices.

method Low-rank matrix denoising framework with Stack-SVD and novel estimators.

result Stack-SVD achieves minimax rate-optimality for identical shared subspaces, and novel estimators for partial sharing.

singular subspace estimation low-rank matrix denoising minimax optimality partial sharing phase transition

2024-11-26abs ↗pdf ↗

Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integrationstat.ML

New insights into choosing between two data integration methods based on SVD.

problem Choosing between two data integration methods (Stack-SVD and SVD-Stack) for shared latent structure across multiple datasets.

method Derive exact expressions for the asymptotic performance and phase transitions of Stack-SVD and SVD-Stack, and develop optimal weighting schemes.

result Optimally weighted Stack-SVD outperforms optimally weighted SVD-Stack in the asymptotic regime.

data integration SVD Stack-SVD SVD-Stack random matrix theory

2025-07-29abs ↗pdf ↗