1.1k citations · 1.3k across the 12 of their papers we have counts for
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On Inductive Abilities of Latent Factor Models for Relational Learning
Théo Trouillon, Éric Gaussier, Christopher R. Dance +1
Latent factor models are increasingly popular for modeling multi-relational knowledge graphs. By their vectorial nature, it is not only hard to interpret why this class of models w…
Online Learning to Sample
Guillaume Bouchard, Théo Trouillon, Julien Perez +1
Stochastic Gradient Descent (SGD) is one of the most widely used techniques for online optimization in machine learning. In this work, we accelerate SGD by adaptively learning how…
Overlapping Trace Norms in Multi-View Learning
Behrouz Behmardi, Cedric Archambeau, Guillaume Bouchard
Multi-view learning leverages correlations between different sources of data to make predictions in one view based on observations in another view. A popular approach is to assume…