Matteo Ruffini

Hierarchical Methods of Moments

2018 · arXiv (Cornell University)

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 real data is still limited due to a lack …

A New Spectral Method for Latent Variable Models

2016 · RECERCAT (Consorci de Serveis Universitaris de Catalunya)

This paper presents an algorithm for the unsupervised learning of latent variable models from unlabeled sets of data. We base our technique on spectral decomposition, providing a technique that proves to be robust both in …

Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending

2024

An increasing number of media streaming services have expanded their offerings to include entities of multiple content types. For instance, audio streaming services that started by offering music only, now also offer podcasts, merchandise items, …