An active-learning method fits nonlinear surrogates by minimizing maximum approximation error and derives worst-case error bounds over the domain.
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Worst-case Nonlinear Regression with Error Bounds
An active-learning method fits nonlinear surrogates by minimizing maximum approximation error and derives worst-case error bounds over the domain.