I apologize if this question is naive, but is it possible to perform maximum likelihood estimation over some set of parameters in a model? This would be equivalent to MAP estimation with an improper prior over the parameters. If so, can one point me to an example or tutorial where this is demonstrated?

I have examined using Edward’s MAP inference for this task; however, this inference requires the parameters be encoded as a RandomVariable.

Thanks!