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20172026
most citedA Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip

1 citations · 2 across the 8 of their papers we have counts for

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cs.LG2026

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

Raphaël Berthier

The central flow of Cohen et al. (2025) is an empirically accurate continuous-time model of gradient descent at the edge of stability in deep learning, However, its derivation is h…

math.OC2026

Incremental Learning in Mirror Flows

Raphaël Berthier, Loucas Pillaud-Vivien

We study mirror flows generated by a convex quadratic loss and a general convex lower semicontinuous mirror potential. We show that, when initialized near the boundary of the domai…