A Probabilistic models for classification with soft labels

In Figure 1 we visualise the normalized effective sample size (ESS) using 10 Monte Carlo samples from our approximate posterior evaluated on the test data throughout PSVI inference. ESS takes consistently non-trivial values (larger than 0.1) even for 200-dimensional data, with a visible decreasing trend as data--and hence model--parameters dimensionality increases.