Arthur Jacot

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20182026

most citedNeural Tangent Kernel: Convergence and Generalization in Neural Networks

1.3k citations · 1.6k across the 25 of their papers we have counts for

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math.OC2026

Convex Optimization Is Free When Accuracy Is Expensive

Arthur Paing, Arthur Jacot

This paper studies convex optimization when the gradient cannot be evaluated exactly, but only approximated by a hierarchy of algorithms whose compute grows like $δ^{- γ}$ in the ac…

stat.ML2026

There Will Be a Scientific Theory of Deep Learning

Jamie Simon, Daniel Kunin, Alexander Atanasov +11

In this paper, we make the case that a scientific theory of deep learning is emerging. By this we mean a theory which characterizes important properties and statistics of the train…

cs.LG2026

Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method

Arthur Jacot

We introduce the Multilevel Euler-Maruyama (ML-EM) method compute solutions of SDEs and ODEs using a range of approximators $f^{1}, \dots, f^{k}$ to the drift $f$ with increasing accurac…