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[RFC]: notations used in this package #48

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yebai opened this issue Apr 4, 2019 · 6 comments
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[RFC]: notations used in this package #48

yebai opened this issue Apr 4, 2019 · 6 comments
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@yebai
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yebai commented Apr 4, 2019

At the moment, we are using the following notations:

  • logπ - log target distribution
  • ∂logπ∂θ - gradient
  • prop - transitioning kernel
  • θ_init - initial value for sampling states / parameters

I think this can be improved by

  • ∂logπ∂θ ==> ∇logπ
  • prop ==> κ (kappa) or τ (tau) - MH transitioning kernel
  • θ - parameters, r - momentum
  • θ_init ==> θ₀ (theta_{0}), r_init ==> r₀ (r_{0})
  • z := (θ, r) - (position, momentum) pair

Any other notations missing?

@yebai yebai changed the title [RFC]: notations for target distribution and gradients [RFC]: notations used in this package Apr 4, 2019
@willtebbutt
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I completely agree with all of @yebai 's proposals. Couple of quick comments:

  • I would prefer τ to kappa, but don't have a hugely strong feeling either way.
  • By q₀, do you mean q₀ or r₀?

If the above are resolved, I'm happy 🙂

@yebai
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yebai commented Apr 4, 2019

By q₀, do you mean q₀ or r₀?

should be r₀.

@xukai92
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xukai92 commented Apr 5, 2019

Nice call! I agree we with these notations! Let's change to them.

@xukai92
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xukai92 commented Apr 20, 2019

@yebai Did we have similar agreement on things like \epsilon used in Turing?

@yebai
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yebai commented May 28, 2019

@yebai Did we have similar agreement on things like \epsilon used in Turing?

how about using the symbol ϵ?

@xukai92
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xukai92 commented Aug 22, 2019

\epsilon is ϵ

@xukai92 xukai92 added this to the Release v0.3 milestone Feb 15, 2020
This was referenced Aug 2, 2020
@yebai yebai closed this as completed Dec 16, 2021
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