26 citations · 95 across the 9 of their papers we have counts for
3 papers · 1 filter
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro +2
Despite the non-convex optimization landscape, over-parametrized shallow networks are able to achieve global convergence under gradient descent. The picture can be radically differ…
Error Scaling Laws for Kernel Classification under Source and Capacity Conditions
Hugo Cui, Bruno Loureiro, Florent Krzakala +1
We consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they…
Tree-AMP: Compositional Inference with Tree Approximate Message Passing
Antoine Baker, Benjamin Aubin, Florent Krzakala +1
We introduce Tree-AMP, standing for Tree Approximate Message Passing, a python package for compositional inference in high-dimensional tree-structured models. The package provides…