2 citations · 2 across the 3 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ML2020★ 2 cited
Slice Sampling for General Completely Random Measures
Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell
Completely random measures provide a principled approach to creating flexible unsupervised models, where the number of latent features is infinite and the number of features that i…
stat.CO2020
Particle-Gibbs Sampling For Bayesian Feature Allocation Models
Alexandre Bouchard-Côté, Andrew Roth
Bayesian feature allocation models are a popular tool for modelling data with a combinatorial latent structure. Exact inference in these models is generally intractable and so prac…