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cs.LG2022★ 2 cited
Gradient Descent for Low-Rank Functions
Romain Cosson, Ali Jadbabaie, Anuran Makur +2
Several recent empirical studies demonstrate that important machine learning tasks, e.g., training deep neural networks, exhibit low-rank structure, where the loss function varies…
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…