Search Results for author: Léo Gautheron

Found 3 papers, 0 papers with code

Metric Learning from Imbalanced Data

no code implementations4 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.

BIG-bench Machine Learning Metric Learning

Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting

no code implementations14 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.

Feature Selection for Unsupervised Domain Adaptation using Optimal Transport

no code implementations28 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.

feature selection Unsupervised Domain Adaptation

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