13 citations · 22 across the 17 of their papers we have counts for
4 papers · 1 filter
Learning Graphical Factor Models with Riemannian Optimization
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian +2
Graphical models and factor analysis are well-established tools in multivariate statistics. While these models can be both linked to structures exhibited by covariance and precisio…
Riemannian optimization for non-centered mixture of scaled Gaussian distributions
Antoine Collas, Arnaud Breloy, Chengfang Ren +2
This paper studies the statistical model of the non-centered mixture of scaled Gaussian distributions (NC-MSG). Using the Fisher-Rao information geometry associated to this distrib…
Robust Geometric Metric Learning
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac +2
This paper proposes new algorithms for the metric learning problem. We start by noticing that several classical metric learning formulations from the literature can be viewed as mo…
Multifrequency Array Calibration in Presence of Radio Frequency Interferences
Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy +1
Radio interferometers are phased arrays producing high-resolution images from the covariance matrix of measurements. Calibration of such instruments is necessary and is a critical…