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Making an overview here, feel free to correct this list!
- [x] Hamiltonian / Riemannian Monte Carlo. See #104
- [ ] Standard metropolis hastings (non adaptive). See #116
- [ ] SMC. See #80, #120
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Yank 0.21 (omnia channel -conda-) does not recognize the yaml option 'number_of_iterations'.
In Yank 0.20 this option was introduced in the dictionary template_options with the line 1207 of experim…
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This is typically referred to "Galilean Monte Carlo (GMC)" (see, e.g., [this](https://arxiv.org/abs/1312.5638)). The basic idea is to initialize a particle with some velocity `v` and launch it in a ra…
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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…