213 citations · 326 across the 14 of their papers we have counts for
5 papers · 1 filter
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the -divergence
Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
This article introduces new multiplicative updates for nonnegative matrix factorization with the -divergence and sparse regularization of one of the two factors (say, the activa…
An Inertial Newton Algorithm for Deep Learning
Camille Castera, Jérôme Bolte, Cédric Févotte +1
We introduce a new second-order inertial optimization method for machine learning called INNA. It exploits the geometry of the loss function while only requiring stochastic approxi…
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
Rui Xia, Vincent Y. F. Tan, Louis Filstroff +1
We propose a novel ranking model that combines the Bradley-Terry-Luce probability model with a nonnegative matrix factorization framework to model and uncover the presence of laten…
Negative Binomial Matrix Factorization for Recommender Systems
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an exte…
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte, Jérôme Idier
This paper describes algorithms for nonnegative matrix factorization (NMF) with the beta-divergence (beta-NMF). The beta-divergence is a family of cost functions parametrized by a…