136 citations · 243 across the 10 of their papers we have counts for
5 papers · 1 filter
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Kais Hariz, Hachem Kadri, Stéphane Ayache +2
We study the implicit regularization effects of deep learning in tensor factorization. While implicit regularization in deep matrix and 'shallow' tensor factorization via linear an…
Deep Networks with Adaptive Nyström Approximation
Luc Giffon, Stéphane Ayache, Thierry Artières +1
Recent work has focused on combining kernel methods and deep learning to exploit the best of the two approaches. Here, we introduce a new architecture of neural networks in which w…
A Meta-Learning Approach to One-Step Active Learning
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres
We consider the problem of learning when obtaining the training labels is costly, which is usually tackled in the literature using active-learning techniques. These approaches prov…
Sequential Cost-Sensitive Feature Acquisition
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
We propose a reinforcement learning based approach to tackle the cost-sensitive learning problem where each input feature has a specific cost. The acquisition process is handled th…
Learning States Representations in POMDP
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres +1
We propose to deal with sequential processes where only partial observations are available by learning a latent representation space on which policies may be accurately learned.