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Black-box optimization of noisy functions with unknown smoothness
Jean-Bastien Grill, Michal Valko, Rémi Munos
We study the problem of black-box optimization of a function f of any dimension, given function evaluations perturbed by noise. The function is assumed to be locally smooth around…
BYOL works even without batch statistics
Pierre H. Richemond, Jean-Bastien Grill, Florent Altché +8
Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach for image representation. From an augmented view of an image, BYOL trains an online network to predict a tar…
Optimistic optimization of a Brownian
Jean-Bastien Grill, Michal Valko, Rémi Munos
We address the problem of optimizing a Brownian motion. We consider a (random) realization of a Brownian motion with input space in . Given , our goal is to return an…