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A Note On Nonlinear Regression Under L2 Loss
Kaan Gokcesu, Hakan Gokcesu · 2023-03-31 · via stat.ML updates on arXiv.org

We investigate the nonlinear regression problem under L2 loss (square loss) functions. Traditional nonlinear regression models often result in non-convex optimization problems with respect to the parameter set. We show that a convex nonlinear regression model exists for the traditional least squares problem, which can be a promising towards designing more complex systems with easier to train models.

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