Parameter initialization is important in GP regression. Poor initialization can easily lead to numerical instabilities, and several approaches can be used to address the issue: one would be to place priors on the parameters; alternatively, it may be possible to set boundary constraints on the parameters. The former approach would require more computational cost but would give a more robust estimation of the parameters.