5 citations · 17 across the 23 of their papers we have counts for
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cs.LG2021★ 1 cited
Universal Online Learning with Bounded Loss: Reduction to Binary Classification
Moïse Blanchard, Romain Cosson
We study universal consistency of non-i.i.d. processes in the context of online learning. A stochastic process is said to admit universal consistency if there exists a learner that…
cs.LG2021★ 3 cited
The Representation Power of Neural Networks: Breaking the Curse of Dimensionality
Moise Blanchard, M. Amine Bennouna
In this paper, we analyze the number of neurons and training parameters that a neural networks needs to approximate multivariate functions of bounded second mixed derivatives -- Ko…