Paper ID: 2303.17745

A Note On Nonlinear Regression Under L2 Loss

Kaan Gokcesu, Hakan Gokcesu

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.

Submitted: Mar 30, 2023