A Note On Nonlinear Regression Under L2 Loss

03/30/2023
by   Kaan Gokcesu, et al.
0

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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset