New version: AdvancedVI v0.3.0

[JuliaRegistrator]

• Registering package: AdvancedVI
• Repository: https://github.com/TuringLang/AdvancedVI.jl
• Created by: @Red-Portal
• Version: v0.3.0
• Commit: 54dff15d363642d4a0a2cf977186a630332e3ed4
• Reviewed by: @Red-Portal
• Reference: TuringLang/AdvancedVI.jl@54dff15#commitcomment-150809294
• Description: Implementation of variational Bayes inference algorithms
• Release notes:

## Breaking changes

- Complete rewrite of `AdvancedVI` with major changes in the API. (Refer to [general usage](https://turinglang.org/AdvancedVI.jl/dev/general/) and the [example](https://turinglang.org/AdvancedVI.jl/dev/examples/).)

## New Features

- Added full-rank and low-rank covariance low-rank variational families. (See the [docs](https://turinglang.org/AdvancedVI.jl/dev/families/).)
- Added the [sticking-the-landing](https://proceedings.neurips.cc/paper_files/paper/2017/hash/e91068fff3d7fa1594dfdf3b4308433a-Abstract.html) control variate. (See the [docs](https://turinglang.org/AdvancedVI.jl/dev/elbo/repgradelbo/#The-StickingTheLandingEntropy-Estimator).)
- Added the score gradient estimator of the ELBO gradient with the leave-one-out control variate (also known as [VarGrad](https://proceedings.neurips.cc/paper/2020/hash/9c22c0b51b3202246463e986c7e205df-Abstract.html))
- Added parameter averaging. (See the [docs](https://turinglang.org/AdvancedVI.jl/dev/optimization/))
- Added parameter-free optimization algorithms. (See the [docs](https://turinglang.org/AdvancedVI.jl/dev/optimization/))

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