Optimal Tradeoffs Between Network Size and Parameter Magnitude in Neural Approximation and Minimax Regression
arXiv:2609.25710v1 Announce Type: new Abstract: The statistical accuracy of neural networks depends on both their approximation power and the complexity of the class fitted from data. While increasing network size is a natural way to improve approximation, parameter magnitude provides another resou…
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- 2026-09-24 04:00 · arXiv stat.ML
Optimal Tradeoffs Between Network Size and Parameter Magnitude in Neural Approximation and Minimax Regression