3 papers
stat.ML2025
Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron +1
Gaussian mixture models (GMMs) are ubiquitous in statistical learning, particularly for unsupervised problems. While full GMMs suffer from the overparameterization of their covaria…
stat.ME2025
Eigengap Sparsity for Covariance Parsimony
Tom Szwagier, Guillaume Olikier, Xavier Pennec
Covariance estimation is a central problem in statistics. An important issue is that there are rarely enough samples to accurately estimate the coefficients in di…
stat.ML2025
Nested subspace learning with flags
Tom Szwagier, Xavier Pennec
Many machine learning methods look for low-dimensional representations of the data. The underlying subspace can be estimated by first choosing a dimension and then optimizing a…