Albert

Results 20 issues of Albert

The current implementation of the update rules for Gaussian Mixture is very strict given the mean-field assumption around this node. For example, the constraint on `q_m` can be relaxed from...

Initially, this PR aimed to solve #84. It enables importance sampling for the `shape` parameters of the Gamma Mixture node (see supporting notebook on `Gamma Mixture`). We have filled in...

Following the [discussion](https://github.com/ReactiveBayes/RxInfer.jl/discussions/234), we have found that sampling from `MvNormalMeanScalePrecision` is not implemented, i.e. ```julia julia> dist = MvNormalMeanScalePrecision(zeros(2), 2.0) MvNormalMeanScalePrecision{Float64, Vector{Float64}}(μ=[0.0, 0.0], γ=2.0) julia> rand(dist) ERROR: MethodError: no method...

enhancement

Following the discussions during [PR](https://github.com/biaslab/ReactiveMP.jl/pull/309), @bartvanerp has identified a few places where the computations around the `ContinuousTransition` node can be improved. In particular 1. If the transformation of RV `a`...

enhancement

Hello! I couldn't locate the discussions section, so I'm submitting this as an issue. However, I don't actually have a problem—just a question. First, I want to commend the fantastic...

This issue has been opened following discussion #164, where users encountered difficulties while trying to assign distributions to matrix elements (e.g., `A .~ Gamma(α,β)`) within the model definition. Currently, `RxInfer.jl`...

documentation
enhancement

We have [added](https://github.com/biaslab/RxInfer.jl/pull/51) `predictvars` feature for the inference function. Due to some theoretical concerns, the computation of the free energy when missings are present was left aside. Now, if one...

Following our [discussion](https://github.com/biaslab/RxInfer.jl/discussions/199) with @leostenzel and @bartvanerp, I've come across the following issue that occurs with nonmissing (observed) data points when the structured constraint is specified. ```julia using RxInfer data...

bug

Currently, there is no possibility of feeding `Missing` types into the inference function. Similarly to the inference function, `rxinference` should support the following: e.g. ```julia rxinference(model = mymodel(), data =...

enhancement

A few months ago, @bartvanerp created the [RxInferExamples.jl](https://github.com/ReactiveBayes/RxInferExamples.jl) repository, which currently features only the drone example. To encourage more community contributions and keep our main repository cleaner, I propose moving...

documentation