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stat.ML2018
Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Spectral methods of moments provide a powerful tool for learning the parameters of latent variable models. Despite their theoretical appeal, the applicability of these methods to r…
stat.ML2018
Generating Synthetic but Plausible Healthcare Record Datasets
Laura Aviñó, Matteo Ruffini, Ricard Gavaldà
Generating datasets that "look like" given real ones is an interesting tasks for healthcare applications of ML and many other fields of science and engineering. In this paper we pr…