no code implementations • 4 Sep 2019 • Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban
A key element of any machine learning algorithm is the use of a function that measures the dis/similarity between data points.
no code implementations • 14 Jun 2019 • Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
Unlike state-of-the-art Multiple Kernel Learning techniques that make use of a pre-computed dictionary of kernel functions to select from, at each iteration we fit a kernel by approximating it as a weighted sum of Random Fourier Features (RFF) and by optimizing their barycenter.
no code implementations • 28 Jun 2018 • Léo Gautheron, Ievgen Redko, Carole Lartizien
In this paper, we propose a new feature selection method for unsupervised domain adaptation based on the emerging optimal transportation theory.