A learned optimizer can predict fractional-order and step-size parameters, giving 99.2% convergence on Rosenbrock 2D when trained on that same function, but the underlying fractional-derivative approximation is unsupported.
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Applications of fractional calculus in learned optimization
A learned optimizer can predict fractional-order and step-size parameters, giving 99.2% convergence on Rosenbrock 2D when trained on that same function, but the underlying fractional-derivative approximation is unsupported.