Showing stat.MLShow all
2 papers · 1 filter
stat.ML2025
Analytic theory of dropout regularization
Francesco Mori, Francesca Mignacco
Dropout is a regularization technique widely used in training artificial neural networks to mitigate overfitting. It consists of dynamically deactivating subsets of the network dur…
stat.ML2020
The role of regularization in classification of high-dimensional noisy Gaussian mixture
Francesca Mignacco, Florent Krzakala, Yue M. Lu +1
We consider a high-dimensional mixture of two Gaussians in the noisy regime where even an oracle knowing the centers of the clusters misclassifies a small but finite fraction of th…