43 citations · 90 across the 13 of their papers we have counts for
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math.PR2022★ 3 cited
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy
Michael Celentano
In many problems in modern statistics and machine learning, it is often of interest to establish that a first order method on a non-convex risk function eventually enters a region…
math.PR2021★ 15 cited
The high-dimensional asymptotics of first order methods with random data
Michael Celentano, Chen Cheng, Andrea Montanari
We study a class of deterministic flows in , parametrized by a random matrix with i.i.d. centered subgaussian…