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Releases: TuringLang/SliceSampling.jl

v0.7.0

30 Nov 22:42
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SliceSampling v0.7.0

Diff since v0.6.2

Breaking changes

  • The default value for max_proposals has been tightened to 10_000. This means that applying one of the samplers in SliceSampling on a degenerate model might throw an error with a higher probability starting from v0.7.

Merged pull requests:

v0.6.2

13 Nov 19:48
48059bc
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SliceSampling v0.6.2

Diff since v0.6.1

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v0.6.1

31 Aug 20:46
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SliceSampling v0.6.1

Diff since v0.6.0

Merged pull requests:

  • CompatHelper: bump compat for Turing in [weakdeps] to 0.34, (keep existing compat) (#11) (@github-actions[bot])

v0.6.0

12 Aug 21:23
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SliceSampling v0.6.0

Diff since v0.5.0

  • Add support for Turing.Experimental.Gibbs.

v0.5.0

12 Aug 02:50
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SliceSampling v0.5.0

Diff since v0.4.2

  • A default initializer has been added for Turing models. Thus, sample can be called without specifying initial_params.
  • Univariate slice samplers can now be used directly on 1-dimensional targets through the AbstractMCMC interface.

v0.4.2

07 Jun 04:13
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SliceSampling v0.4.2

Diff since v0.4.1

v0.4.1

30 May 05:33
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SliceSampling v0.4.1

Diff since v0.4.0

v0.4.0

29 May 07:23
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SliceSampling v0.4.0

Diff since v0.3.0

Breaking Changes

  • Univariate slice samplers now need to wrapped into RandPermGibbs to be used on multivariate targets.

New Features

  • Added the hit-and-run sampling strategy for using univariate slice samplers on multivariate targets.

Merged pull requests:

v0.3.0

26 May 22:13
6d630d9
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SliceSampling v0.3.0

  • Added Gibbsian polar slice sampling
  • Added optional limit on the maximum number of proposals to avoid infinite loops

Merged pull requests:

Closed issues:

  • TagBot trigger issue (#5)