parameters and theta is the meta parameters so if you want to do do meta learning or learn a prior theta in this graphical model it's gonna look like the following optimization where we're optimizing the logs likelihood of the data given given the parameters you can write this out similar to the equations that Surya showed earlier as an integration over the top specific parameters Phi which are not observed and the and this is simply empirical Bayes and the we can approximate is is it's quite intractable and so one thing