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Hi,
Thanks to the authors for the nice read.
I have a question for these lines which indicate that you are doing theta_t = theta_t + v_t while the correct definition in SGHMC is theta_t = theta_t + eta_t * v_t (ignoring the Mass as it seems here its assumed to be unity).
I have not used Pytorch so maybe I'm missunderstanding something?
The text was updated successfully, but these errors were encountered:
Yes, it is but this eta_theta may absorb the eta_t that you mentioned.
When we implement this algorithm, to be consistent to the symbols used for our own method working on sampling parameters for partial observations, we reformulate the hyperparameters.
If you would like some more details, please read our paper. If you are still doubted, please contact r.luo@cs.ucl.ac.uk for more specific answers.
It that happy?
Hi,
Thanks to the authors for the nice read.
I have a question for these lines which indicate that you are doing
theta_t = theta_t + v_t
while the correct definition in SGHMC istheta_t = theta_t + eta_t * v_t
(ignoring the Mass as it seems here its assumed to be unity).I have not used Pytorch so maybe I'm missunderstanding something?
The text was updated successfully, but these errors were encountered: