26 citations · 95 across the 9 of their papers we have counts for
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stat.ML2022★ 11 cited
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…
stat.ML2022★ 5 cited
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…