2 citations · 2 across the 14 of their papers we have counts for
4 papers · 1 filter
Learning with Shallow Neural Networks on Cluster-Structured Features
Elisabetta Cornacchia, Laurent Massoulié
The success of deep learning in high-dimensional settings is often attributed to the presence of low-dimensional structure in real-world data. While standard theoretical models typ…
Unbiased Approximate Vector-Jacobian Products for Efficient Backpropagation
Killian Bakong, Laurent Massoulié, Edouard Oyallon +1
In this work we introduce methods to reduce the computational and memory costs of training deep neural networks. Our approach consists in replacing exact vector-jacobian products b…
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even, Laurent Massoulié
Motivated by multi-task and meta-learning approaches, we consider the problem of learning structure shared by tasks or users, such as shared low-rank representations or clustered s…
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
We analyze a distributed algorithm to compute a low-rank matrix factorization on clients, each holding a local dataset , mathematica…