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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 “SRFE”

Surprisal-Rényi Free Energystat.ML

SRFE clarifies KL divergences without unifying learning frameworks.

problem Inductive biases of KL divergences and their limitations.

method Introducing SRFE, a log-moment-based functional of the likelihood ratio.

result SRFE recovers KL divergences as limits and reveals a mean-variance tradeoff.

SRFE KL divergences log-moment free energy large deviations

2026-03-03abs ↗pdf ↗

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruningcs.LG

Sparser Random Feature Models via IMP (ShRIMP) efficiently learns sparse models for high-dimensional data.

problem Learning sparse models for high-dimensional data with sparse variable dependencies.

method Iterative Magnitude Pruning applied to Random Feature Models.

result ShRIMP achieves better or competitive test accuracy compared to state-of-the-art methods.

Random Feature Models Sparse Learning Iterative Magnitude Pruning Feature Selection Generalization Error

2021-12-07abs ↗pdf ↗