Hello, what is the application of var_list passed to klqp? I saw it is used in the probabilistic_pca_subsampling.py.
I guess it is the parameter which is going to be updated in inference, but I can not find a reference to understand when it is needed?
Moreover in the sample it is used reversely (qz_variables for inferring qw and vice versa), is it a bug or I’m missing something here?
In further examination I found that when I don’t pass var_list (or when I pass qz_variables for qz and qw_variables for qw) the loss does not decrease. So it seems I missed a critical point in this example