57 citations · 134 across the 21 of their papers we have counts for
3 papers · 1 filter
Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
Karl Hajjar, Lénaïc Chizat, Christophe Giraud
To theoretically understand the behavior of trained deep neural networks, it is necessary to study the dynamics induced by gradient methods from a random initialization. However, t…
Localization in 1D non-parametric latent space models from pairwise affinities
Christophe Giraud, Yann Issartel, Nicolas Verzelen
We consider the problem of estimating latent positions in a one-dimensional torus from pairwise affinities. The observed affinity between a pair of items is modeled as a noisy obse…
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
We provide a setting and a general approach to fair online learning with stochastic sensitive and non-sensitive contexts. The setting is a repeated game between the Player and Natu…