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#convergence-rates News & Analysis

2 articles tagged with #convergence-rates. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv โ€“ CS AI ยท Mar 37/103
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On the Rate of Convergence of GD in Non-linear Neural Networks: An Adversarial Robustness Perspective

Researchers prove that gradient descent in neural networks converges to optimal robustness margins at an extremely slow rate of ฮ˜(1/ln(t)), even in simplified two-neuron settings. This establishes the first explicit lower bound on convergence rates for robustness margins in non-linear models, revealing fundamental limitations in neural network training efficiency.