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stat.ML2025
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
Andrea Montanari, Pierfrancesco Urbani
Understanding the inductive bias and generalization properties of large overparametrized machine learning models requires to characterize the dynamics of the training algorithm. We…
stat.ML2025
Local minima of the empirical risk in high dimension: General theorems and convex examples
Kiana Asgari, Andrea Montanari, Basil Saeed
We consider a general model for high-dimensional empirical risk minimization whereby the data are -dimensional Gaussian vectors, the model is parametrized by $\ma…