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## Description of your problem
Using normal_lcdf from pymc3.distributions.dist_math.normal_lcdf seems to break ADVI somewhere. NUTS samples from this model just fine (with about 5-7% of divergent sam…
lapsh updated
2 years ago
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Can we model SuStaIn in probabilistic modelling library like pymc3, also can we use Variational Inference instead of MCMC?
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When running variational message passing, `ReactiveMP.jl` updates all random variables.
For prototyping/experimenting, it is sometimes useful to block some of the marginal updates.
For now, I see on…
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On this page:
https://pymc-data-umbrella.xyz/en/latest/about/index.html
We should add actual text about PyMC and Data Umbrella in addition to the links that are already there.
Data Umbrella is…
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Hi,
I have a small dataset (_N_ ~ 2000) where the output _y_ ∈[0,1]. How can I make sure that the GP output stays in this range? Thanks!
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Hi, thanks for your fantastic work so far. 🙂
_[Elucidating the Design Space of Diffusion-Based Generative Models](https://arxiv.org/abs/2206.00364)_, published ~3 weeks ago describes a new way to …
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I recently tried to make a model with pymc3, however when I use the
```
with pm.Model() as neural_network:
t_input = pm.Data('t_input', X_train)
t_f_output = pm.Data('t_f_output', Yf_tr…
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# Roadmap
- Support for missing values #786 #544 #792
- Support for Gaussian processes (https://github.com/TuringLang/Turing.jl/issues/777)
- Distributed sampling (see e.g. [`posterior server`](h…
yebai updated
2 years ago
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The advi.hist (ELBO) should increase over time, but it does not seem to, even though the posterior looks sensible.
Find out why.
https://github.com/probml/probml-notebooks/blob/main/notebooks/beta_b…
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As a baseline, Stheno really needs to have [1] implemented. This will be _very_ simple to achieve, and will likely only be a slight extension of the implementation of [2], the elbo for which can be fo…