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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.

168,742 papers · 148 categories

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0111 · Jan 202419922001200920172026
1 result for “Kolmogorov-Donoho”
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classesstat.ML

The paper proves neural networks' consistency and optimal convergence rates for various function classes.

problem Proving neural networks' consistency and optimal convergence rates for diverse function classes.
method Analyzes wide and deep ReLU neural networks trained on logistic loss and Kolmogorov-Donoho optimal function classes.
result Proves universal consistency and minimax optimal convergence rates for neural networks.
neural networksconsistencylogistic lossKolmogorov-Donohofunction classes
2024-01-08abs ↗pdf ↗