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I've talked to a lot of nice folks recently about the potential Cassette use cases. Here's are the ones I remember:
- chain-rule + primitive based
- disciplined convex programming (e.g. Convex…
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I have two questions regarding the HMC implementation:
1. Why the default `target_acceptance_rate` is 0.8 and not 0.65, which is most widely used in the literature.
2. Is there a white paper about…
botev updated
6 years ago
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Gaussian processes in Stan are demonstrated as an example of something one can hand-code (as opposed to an abstraction, as we are trying to do for Venture).
On performance, the Stan reference manual …
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I was wondering if this is part of the roadmap, or if anyone is working on this implementation of Hamiltonian MH Sampler ?
If not then, I can work on the implementation and submit a PR.
https:/…
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The Hamiltonian Monte Carlo sample looks really promising and I'd love to try it out. I cloned the repository and attempted to execute it. I get several cells down but on the first "Using the Matrix E…
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We should implement a new Preprocessor that takes FCIDUMP formatted kernels and produces our usual FermionCompiler format that can then be used in the rest of our workflow.
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Hi I did a profiling on predict function to understand why it ate up all the memory even on generating prediction for one row of new observations, as well as being very slow.
My brmsfit model objec…
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@peastman and I discussed the potential for implementing something like the CHARMM [BLOCK](https://www.charmm.org/charmm/documentation/by-version/c40b1/params/doc/block/) facility for OpenMM to make i…
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Hi,
I am trying to implement MCMC using PyMC3. While trying to execute the program, the sampling part took more time to complete. I don't see any gpu utilization ( 0% ) via nvidia-smi command.
`tra…
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where -0.00 is displayed if the value being rounded is < 0 and 0.00 other wise. My parameter estimates are often small and I'm seeing a lot of 0.00 which is not terribly informative.