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Currently one of the biggest obstacles to a smoother user experience is the absence of auto-tuning capability, so the user has to spend quite a lot of time tuning the configuration parameters such as the number of loops and the number of local/global steps.
There is no good rules of thumb and good metric to inform the users on how to tune the algorithm more than increase the number of chains or run it longer.
There are two steps toward a better user experience,
Give metrics to inform the user the quality of the run, such as monitoring local R_hat vs global R_hat. The user can then tune the configuration parameters
Lay down auto tune strategy that take cares of the tuning automatically.
The text was updated successfully, but these errors were encountered:
Currently one of the biggest obstacles to a smoother user experience is the absence of auto-tuning capability, so the user has to spend quite a lot of time tuning the configuration parameters such as the number of loops and the number of local/global steps.
There is no good rules of thumb and good metric to inform the users on how to tune the algorithm more than increase the number of chains or run it longer.
There are two steps toward a better user experience,
The text was updated successfully, but these errors were encountered: