2 papers
stat.ME2026
Information-geometry-driven graph sequential growth
Harry T. Bond, Bertrand Gauthier, Kirstin Strokorb
We investigate the properties of a class of regularisation-free approaches for Gaussian graphical inference based on the information-geometry-driven sequential growth of initially…
stat.ML2022
Local optimisation of Nyström samples through stochastic gradient descent
Matthew Hutchings, Bertrand Gauthier
We study a relaxed version of the column-sampling problem for the Nyström approximation of kernel matrices, where approximations are defined from multisets of landmark points in th…