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Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

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This pull request changes the compat entry for the `MeasureTheory` package from `0.16 - 0.18` to `0.16 - 0.18, 0.19`. This keeps the compat entries for earlier versions. Note: I...

Once the thesis is out or a paper is published put in the Heteroscedastic Gaussian docs

There seems to be an issue with the optimal variational distribution for q(Omega). It comes either from the computation of the ELBO or from the optimal variational distribution itself.

bug

- [x] Student-T #10 - [ ] BayesianSVM - [x] LaplaceLikelihood #15 - [x] Categorical{

enhancement

In some cases the prior and tilt cannot be splitted (in Categorical for example), we should still have a general approach for it.

I tried to AD `aug_elbo` in the `NegBinomialLikelihood` example, i.e. (removed unnecessary bits), purposefully avoiding ParameterHandling.jl and trying only with `ForwardDiff.gradient` ```julia # # Negative Binomial # We load all...

- [ ] Heteroscedastic Laplace Likelihood

enhancement

![image](https://user-images.githubusercontent.com/11480067/159067652-6dccebe3-c388-4512-b954-b91d958a387a.png)

documentation

There can be differentiation issues (with Zygote) regarding the auxiliary variables, especially with `expected_logtilt`. #20 Solved this problem for now with a relatively generic solutions but more tests are needed.