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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.

169,341 papers · 148 categories

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0111 · Sep 201519922001200920182026
4 results for “TV-minimizers”
Precise Phase Transition of Total Variation Minimizationcs.IT

Paper characterizes phase transition of TV minimization for sparse-gradient signal recovery.

problem Characterizing phase transitions of TV minimization for sparse-gradient signal recovery.
method Combines AMP conjectured phase transition curve and high-dimensional convex geometry.
result Fully characterizes the phase transition curve of TV minimization.
phase transitionstotal variation minimizationsparse-gradientcompressed sensingdenoising
2015-09-15abs ↗pdf ↗
Semi-supervised Learning in Network-Structured Data via Total Variation Minimizationcs.LG

Method uses TV minimization for semi-supervised learning on network data.

problem Semi-supervised learning from partially-labeled network data.
method Graph signal recovery interpretation, total variation minimization, primal-dual method for non-smooth convex optimization.
result TV minimization recovers clusters in the empirical graph of the data under certain network conditions.
semi-supervised learningnetwork datatotal variationgraph signal recoveryprimal-dual method
2019-01-28abs ↗pdf ↗