NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates
NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates
Although it is known that having accurate Lipschitz estimates is essential for certain models to deliver good predictive performance, refining this constant in practice can be a difficult task especially when the input dimension is high. In this letter, we shed light on the consequences of employing loose Lipschitz bounds …