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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.

168,786 papers · 148 categories

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0111 · Sep 201819922001200920172026
2 results for “thin-SVD”
Joint, Partially-joint, and Individual Independent Component Analysis in Multi-Subject fMRI Datastat.ML

Develops a method for extracting sources in multi-subject fMRI data.

problem Analyzing brain imaging datasets from multiple subjects with varying levels of jointness.
method Deflation-based algorithm using higher order cumulants and thin-SVD factorization.
result The algorithm accurately identifies joint, partially-joint, and individual sources with high precision.
fMRIsource extractionjointnesscumulantsthin-SVD
2019-09-09abs ↗pdf ↗
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problemscs.LG

Composite convex optimization problems which include both a nonsmooth term and a low-rank promoting term have important applications in machine learning and signal processing, such as when one wishes to recover an unknown matrix that is simultaneously low-rank and sparse. However, such problems are highly challenging t…

2018-09-27abs ↗pdf ↗