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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 “GLM-tron”

Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuroncs.LG

Paper analyzes GLM-tron for high-dimensional ReLU regression, providing upper and lower bounds.

problem Learning a single ReLU neuron in high-dimensional settings with overparameterization.

method Perceptron-type algorithm GLM-tron, with finite-sample analysis.

result Sharp characterization of high-dimensional ReLU regression problems via GLM-tron, contrasting with SGD.

ReLU regression high-dimensional learning Perceptron GLM-tron stochastic gradient descent

2023-03-03abs ↗pdf ↗

Learning sparse generalized linear models with binary outcomes via iterative hard thresholdingmath.ST

New algorithm learns sparse GLMs for binary outcomes efficiently.

problem Sparse modeling of binary outcomes in high-dimensional data.

method Iterative hard thresholding algorithm (BIHT) for sparse GLMs.

result BIHT achieves statistical optimality for logistic regression.

sparse modeling binary outcomes generalized linear models iterative hard thresholding statistical optimality

2025-02-25abs ↗pdf ↗