3 papers
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…
cs.LG2020
Gaussian Graphical Model exploration and selection in high dimension low sample size setting
Thomas Lartigue, Simona Bottani, Stephanie Baron +3
Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM i…