12 citations · 34 across the 13 of their papers we have counts for
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stat.ML2022★ 1 cited
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
Konstantin Göbler, Anne Miloschewski, Mathias Drton +1
Graphical models are an important tool in exploring relationships between variables in complex, multivariate data. Methods for learning such graphical models are well developed in…
stat.ML2022
Scalable Regularised Joint Mixture Models
Thomas Lartigue, Sach Mukherjee
In many applications, data can be heterogeneous in the sense of spanning latent groups with different underlying distributions. When predictive models are applied to such data the…
stat.ML2022
On unsupervised projections and second order signals
Thomas Lartigue, Sach Mukherjee
Linear projections are widely used in the analysis of high-dimensional data. In unsupervised settings where the data harbour latent classes/clusters, the question of whether class…