On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm

1 code implementation • 11 May 2023 • Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret

When fitting the learning data of an individual to algorithm-like learning models, the observations are so dependent and non-stationary that one may wonder what the classical Maximum Likelihood Estimator (MLE) could do, even if it is the usual tool applied to experimental cognition.

The interplay of fast waves and slow convection in geodynamo simulations nearing Earth's core conditions

no code implementations • 12 Feb 2021 • Julien Aubert, Nicolas Gillet

Ground observatory and satellite-based determinations of temporal variations in the geomagnetic field probe a decadal to annual time scale range where Earth's core slow, inertialess convective motions and rapidly propagating, inertia-bearing hydromagnetic waves are in interplay.

Geophysics