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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.

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1 result for “res-PCA”

RES-PCA: A Scalable Approach to Recovering Low-rank Matricescs.LG

RES-PCA efficiently recovers low-rank matrices without precise rank knowledge.

problem Inefficient and computationally expensive RPCA methods.

method RES-PCA, a scalable and linearly efficient RPCA method.

result RES-PCA is faster and more robust than existing scalable methods.

RPCA low-rank matrix recovery scalability res-PCA singular value decomposition

2019-04-16abs ↗pdf ↗