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stat.ML2025★ 1 cited
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…
stat.ML2025★ 1 cited
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…