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Really liked your paper. What are you thoughts on including this into PyMC3 where we already have HMC and NUTS (see here for the code: https://github.com/pymc-devs/pymc/blob/master/pymc/step_methods/nuts.py). It should be straight forward as the interface is very simple as you can see and you already have most of the code.
This way the sampler would be accessible to a much wider audience, the logp and the logp gradient are computed via theano so it's fast and automatic.
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